Datasets:

Languages: English
Multilinguality: monolingual
Size Categories: 10M<n<100M
Language Creators: found
Annotations Creators: found
Source Datasets: original
License:
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grraj
EntenEller
https://i.imgur.com/DXOdR.jpg
My personal abandoned school urban exploration. Abandoned due to asbestos and it is pretty much untouched (x-posted)
my personal abandoned school urban exploration. abandoned due to asbestos and it is pretty much untouched
1abandoned
2
"2011-04-17T00:06:54"
/r/abandoned/comments/grraj/my_personal_abandoned_school_urban_exploration/
null
guli1
flying-demiurg
http://i.imgur.com/nEuSr.jpg
My playground near Dubrovnik, Croatia.
my playground near dubrovnik, croatia.
1abandoned
8
"2011-04-20T16:57:15"
/r/abandoned/comments/guli1/my_playground_near_dubrovnik_croatia/
null
hefkq
wrayworks
http://i.imgur.com/rYSxq.jpg
Palmerton, PA - Zinc Smelting Plant
palmerton, pa - zinc smelting plant
1abandoned
11
"2011-05-18T19:22:45"
/r/abandoned/comments/hefkq/palmerton_pa_zinc_smelting_plant/
null
jyd8i
randomb0y
http://i.imgur.com/kxgV9.jpg
Abandoned train depot in Detroit (x-post from pics)
abandoned train depot in detroit
1abandoned
9
"2011-08-29T21:33:56"
/r/abandoned/comments/jyd8i/abandoned_train_depot_in_detroit_xpost_from_pics/
null
n2dkj
trishm
https://i.imgur.com/LiBK8.jpg
An abandoned prison
an abandoned prison
1abandoned
19
"2011-12-06T10:26:34"
/r/abandoned/comments/n2dkj/an_abandoned_prison/
null
ndk8d
None
https://i.imgur.com/FRT3N.jpg
Abandoned boats in Bristol Bay
abandoned boats in bristol bay
1abandoned
2
"2011-12-15T08:10:53"
/r/abandoned/comments/ndk8d/abandoned_boats_in_bristol_bay/
null
negpg
gcolangelo
https://i.imgur.com/LldBi.jpg
Rest house (southern france) (xpost from /r/pics)
rest house
1abandoned
3
"2011-12-15T23:59:46"
/r/abandoned/comments/negpg/rest_house_southern_france_xpost_from_rpics/
null
nj64z
Pseudonyms
http://i.imgur.com/ZfFLv.jpg
Tuberculosis Hospital. (More coming)
tuberculosis hospital.
1abandoned
12
"2011-12-20T00:35:57"
/r/abandoned/comments/nj64z/tuberculosis_hospital_more_coming/
null
o09bm
Crinnle
https://i.imgur.com/4TBo9.jpg
(x-post from /r/fortcollins) Abandoned Goat Farm [Album]
abandoned goat farm
1abandoned
6
"2012-01-02T22:06:32"
/r/abandoned/comments/o09bm/xpost_from_rfortcollins_abandoned_goat_farm_album/
null
o7b0g
fuzzusmaximus
http://i.imgur.com/JnVpM.jpg
Castle Ruins - Lake of the Ozarks
castle ruins - lake of the ozarks
1abandoned
9
"2012-01-08T00:06:33"
/r/abandoned/comments/o7b0g/castle_ruins_lake_of_the_ozarks/
null
o9ckc
None
http://i.imgur.com/wIEZk.jpg
abandoned bumper cars
abandoned bumper cars
1abandoned
13
"2012-01-09T15:21:50"
/r/abandoned/comments/o9ckc/abandoned_bumper_cars/
null
o9cl3
None
http://i.imgur.com/khFbs.jpg
abandoned ferris wheel
abandoned ferris wheel
1abandoned
18
"2012-01-09T15:22:29"
/r/abandoned/comments/o9cl3/abandoned_ferris_wheel/
null
ptvns
ktvplumbs
https://i.imgur.com/EPuRT.jpg
Cabin
cabin
1abandoned
6
"2012-02-17T14:22:17"
/r/abandoned/comments/ptvns/cabin/
null
qh5e9
None
https://i.imgur.com/rfdIY.png
Exide Battery Factory in South Carolina
exide battery factory in south carolina
1abandoned
5
"2012-03-04T13:55:10"
/r/abandoned/comments/qh5e9/exide_battery_factory_in_south_carolina/
null
qngzi
greatyellowshark
http://i.imgur.com/ve0Su.jpg
The old train station in Moorpark, Ca.
the old train station in moorpark, ca.
1abandoned
9
"2012-03-08T16:34:08"
/r/abandoned/comments/qngzi/the_old_train_station_in_moorpark_ca/
null
rr6hm
None
https://i.imgur.com/j82Q2.jpg
Found an abandoned mine near 36.051660 N, -115.315882 W near Las Vegas NV. Does anyone know any more information about this particular mine? (What it was used for, how long it was used, etc.)
found an abandoned mine near 36.051660 n, -115.315882 w near las vegas nv. does anyone know any more information about this particular mine?
1abandoned
8
"2012-04-03T14:11:48"
/r/abandoned/comments/rr6hm/found_an_abandoned_mine_near_36051660_n_115315882/
null
rv1dx
capacitors
https://i.imgur.com/FijNI.jpg
A partially flooded, abandoned house near Thistle Utah. Slowly sinking...
a partially flooded, abandoned house near thistle utah. slowly sinking...
1abandoned
24
"2012-04-05T18:59:12"
/r/abandoned/comments/rv1dx/a_partially_flooded_abandoned_house_near_thistle/
null
s4sv8
wliethof
https://i.imgur.com/8YO9o.jpg
Abandoned House, Czech Republic (x-post from /r/urbanexploration)
abandoned house, czech republic
1abandoned
10
"2012-04-11T19:14:26"
/r/abandoned/comments/s4sv8/abandoned_house_czech_republic_xpost_from/
null
s6dt7
None
http://i.imgur.com/KjHVk.jpg
Abandoned Nuclear Plant
abandoned nuclear plant
1abandoned
44
"2012-04-12T16:37:53"
/r/abandoned/comments/s6dt7/abandoned_nuclear_plant/
null
shva2
None
http://i.imgur.com/iK2FX.jpg
Abandoned train wagon.
abandoned train wagon.
1abandoned
45
"2012-04-19T14:50:03"
/r/abandoned/comments/shva2/abandoned_train_wagon/
null
stwuy
joEDaddy384
http://i.imgur.com/D7Q3o.jpg
Lake Township School Abandoned School Building, South of Terril, IA. Any have any information on anything about the building
lake township school abandoned school building, south of terril, ia. any have any information on anything about the building
1abandoned
6
"2012-04-26T18:17:24"
/r/abandoned/comments/stwuy/lake_township_school_abandoned_school_building/
null
syl0n
phatratpack
https://i.imgur.com/UwjxE.jpg
Abandoned Trainer Jet (Taken 29APR12)
abandoned trainer jet
1abandoned
12
"2012-04-29T20:22:29"
/r/abandoned/comments/syl0n/abandoned_trainer_jet_taken_29apr12/
null
u0wpx
TheVad
https://i.imgur.com/zUQBj.jpg
Central VIC, Australia - Abandoned dredge and dragline (UrbanExploration X-post)
central vic, australia - abandoned dredge and dragline
1abandoned
4
"2012-05-23T12:40:07"
/r/abandoned/comments/u0wpx/central_vic_australia_abandoned_dredge_and/
null
uka3p
None
http://i.imgur.com/XlgkJ.jpg
Abandoned boatyard, Doha, Qatar (xpost from /r/urbanexploration)
abandoned boatyard, doha, qatar
1abandoned
18
"2012-06-04T15:12:54"
/r/abandoned/comments/uka3p/abandoned_boatyard_doha_qatar_xpost_from/
null
uycr6
AlyssInWonderland
http://i.imgur.com/o7dzL.jpg
Well kept for an abandoned house
well kept for an abandoned house
1abandoned
28
"2012-06-12T18:37:35"
/r/abandoned/comments/uycr6/well_kept_for_an_abandoned_house/
null
uye52
AlyssInWonderland
http://i.imgur.com/TzohL.jpg
Kilworthy General Store, watched it slowly fall apart and now it appears to be in the process of being torn down
kilworthy general store, watched it slowly fall apart and now it appears to be in the process of being torn down
1abandoned
22
"2012-06-12T19:02:01"
/r/abandoned/comments/uye52/kilworthy_general_store_watched_it_slowly_fall/
null
v8pqt
Not-Me-Mate
http://i.imgur.com/lpPZ3.jpg
Abandoned in 1583.
abandoned in 1583.
1abandoned
54
"2012-06-18T20:50:45"
/r/abandoned/comments/v8pqt/abandoned_in_1583/
null
w2io6
ukulelecanadian
https://i.imgur.com/UqrsA.jpg
The Buckner Building in Whittier, Alaska
the buckner building in whittier, alaska
1abandoned
30
"2012-07-05T08:44:24"
/r/abandoned/comments/w2io6/the_buckner_building_in_whittier_alaska/
null
wpoh4
Madd_Scientist
https://i.imgur.com/uCNUr.jpg
Belle Isle Zoo Detroit, MI
belle isle zoo detroit, mi
1abandoned
32
"2012-07-17T18:13:26"
/r/abandoned/comments/wpoh4/belle_isle_zoo_detroit_mi/
null
wxe6t
None
https://i.imgur.com/1x8XG.jpg
Funkkaserne (abandoned army barracks in Germany)
funkkaserne
1abandoned
10
"2012-07-21T16:18:59"
/r/abandoned/comments/wxe6t/funkkaserne_abandoned_army_barracks_in_germany/
null
xhgb5
beardymcbeard
http://i.imgur.com/N1MEF.jpg
Gila cliff dwellings
gila cliff dwellings
1abandoned
37
"2012-08-01T02:32:59"
/r/abandoned/comments/xhgb5/gila_cliff_dwellings/
null
xu39b
nonex
http://i.imgur.com/9zlyS.jpg
Abandoned railroad tracks
abandoned railroad tracks
1abandoned
114
"2012-08-07T18:29:03"
/r/abandoned/comments/xu39b/abandoned_railroad_tracks/
null
y0n3m
GuardianOfAsgaar
http://farm8.staticflickr.com/7161/6661050775_9c7a8d315c_b.jpg
Clown vomit
clown vomit
1abandoned
24
"2012-08-10T21:25:50"
/r/abandoned/comments/y0n3m/clown_vomit/
null
ym354
None
http://i.imgur.com/Soyba.png
An abandoned shack at Jungle Habitat in NJ
an abandoned shack at jungle habitat in nj
1abandoned
20
"2012-08-22T01:34:15"
/r/abandoned/comments/ym354/an_abandoned_shack_at_jungle_habitat_in_nj/
null
10k51i
pieeatingbastard
http://i.imgur.com/5qnuX.jpg
Abandoned car on a Mancunian terraced street [1280*960] OC
abandoned car on a mancunian terraced street oc
1abandoned
23
"2012-09-27T11:57:07"
/r/abandoned/comments/10k51i/abandoned_car_on_a_mancunian_terraced_street/
null
10ka7c
pieeatingbastard
http://i.imgur.com/4ou2W.jpg
Derelict Seacroft Grange in Leeds [1280*960] OC
derelict seacroft grange in leeds oc
1abandoned
24
"2012-09-27T14:00:53"
/r/abandoned/comments/10ka7c/derelict_seacroft_grange_in_leeds_1280960_oc/
null
11yvp1
VonDrunky
http://i.imgur.com/jyiFg.jpg
Ex - USS YOG-64 Navy Fuel Ship From WWII and Operation Sandstone.
ex - uss yog-64 navy fuel ship from wwii and operation sandstone.
1abandoned
30
"2012-10-23T21:25:40"
/r/abandoned/comments/11yvp1/ex_uss_yog64_navy_fuel_ship_from_wwii_and/
null
11zelv
neens87
http://i.imgur.com/SFWbY.jpg
My first post! Abandoned train tracks by my house on a beautiful fall day in NJ.
my first post! abandoned train tracks by my house on a beautiful fall day in nj.
1abandoned
84
"2012-10-24T02:04:56"
/r/abandoned/comments/11zelv/my_first_post_abandoned_train_tracks_by_my_house/
null
127fa0
hayleycox
http://i.imgur.com/UHhoS.jpg
Ruins of La Corte Barrio, Fort Worth, TX
ruins of la corte barrio, fort worth, tx
1abandoned
26
"2012-10-28T04:12:36"
/r/abandoned/comments/127fa0/ruins_of_la_corte_barrio_fort_worth_tx/
null
12dpd0
None
http://i.imgur.com/3ojL0.jpg
Out riding with my dad and found Ibex mine/ghost town in California.
out riding with my dad and found ibex mine/ghost town in california.
1abandoned
48
"2012-10-31T03:36:14"
/r/abandoned/comments/12dpd0/out_riding_with_my_dad_and_found_ibex_mineghost/
null
12usdz
Subcriminal
https://i.imgur.com/pXxrE.jpg
Abandoned site in London due to become a hotel (xpost from r/urbanexploration)
abandoned site in london due to become a hotel
1abandoned
17
"2012-11-08T13:15:10"
/r/abandoned/comments/12usdz/abandoned_site_in_london_due_to_become_a_hotel/
null
13l3xv
ty1mill
http://i.imgur.com/IwkxP.jpg
High point in a factory i go to.
high point in a factory i go to.
1abandoned
41
"2012-11-21T21:11:16"
/r/abandoned/comments/13l3xv/high_point_in_a_factory_i_go_to/
null
13pdgm
classypants16
http://i.imgur.com/OkLdx.jpg
Run off dam near an abandoned paper mill, Kalamazoo MI.
run off dam near an abandoned paper mill, kalamazoo mi.
1abandoned
31
"2012-11-24T06:17:50"
/r/abandoned/comments/13pdgm/run_off_dam_near_an_abandoned_paper_mill/
null
14i0ax
HaveAMap
https://i.imgur.com/HXhAd.jpg
Canyon Diablo / Two Guns, AZ. I had so much fun exploring this place and then learning the crazy history.
canyon diablo / two guns, az. i had so much fun exploring this place and then learning the crazy history.
1abandoned
21
"2012-12-08T15:32:00"
/r/abandoned/comments/14i0ax/canyon_diablo_two_guns_az_i_had_so_much_fun/
null
14k5km
1raftinman
http://i.imgur.com/fgipp.jpg
Old cabin in North Carolina.
old cabin in north carolina.
1abandoned
24
"2012-12-09T19:31:43"
/r/abandoned/comments/14k5km/old_cabin_in_north_carolina/
null
14wamy
mikeman9412
https://i.imgur.com/l5Hls.jpg
Some select favorites of mine... (Abandoned school for the mentally challenged)
some select favorites of mine...
1abandoned
22
"2012-12-15T15:40:29"
/r/abandoned/comments/14wamy/some_select_favorites_of_mine_abandoned_school/
null
151x7a
None
http://i.imgur.com/7Duge.jpg
Cabin
cabin
1abandoned
12
"2012-12-18T14:51:57"
/r/abandoned/comments/151x7a/cabin/
null
152k8j
2wholemichelinas
http://i.imgur.com/IxT4Z.jpg
South Oshawa, Ontario Canada....The dirty shwa
south oshawa, ontario canada....the dirty shwa
1abandoned
30
"2012-12-18T21:13:11"
/r/abandoned/comments/152k8j/south_oshawa_ontario_canadathe_dirty_shwa/
null
158yom
Hamburglary
http://i.imgur.com/rWkcG.jpg
Holyland, USA [Waterbury, CT - xpost from /r/curiousplaces]
holyland, usa
1abandoned
66
"2012-12-21T21:42:55"
/r/abandoned/comments/158yom/holyland_usa_waterbury_ct_xpost_from/
null
15ccio
Smiling_back
http://i.imgur.com/btLy2.jpg
Saratoga Air Station (sorry for quality)
saratoga air station
1abandoned
11
"2012-12-23T21:54:33"
/r/abandoned/comments/15ccio/saratoga_air_station_sorry_for_quality/
null
15dl6s
beerman55
http://i.imgur.com/0FT0f.jpg
Found this abandoned barn in my woods behind my house in CT [OC]
found this abandoned barn in my woods behind my house in ct
1abandoned
63
"2012-12-24T15:51:46"
/r/abandoned/comments/15dl6s/found_this_abandoned_barn_in_my_woods_behind_my/
null
15dqy7
aesthetestudios
http://i.imgur.com/6TjqW.jpg
I was afraid to open this door. [OC][2335x1574]
i was afraid to open this door.
1abandoned
52
"2012-12-24T17:43:40"
/r/abandoned/comments/15dqy7/i_was_afraid_to_open_this_door_oc2335x1574/
null
15gesd
loneflanger
https://i.imgur.com/iZZqk.jpg
Nike Site W-83 [Herndon/Dranesville, VA] (late 90s/early 2000s negative scans)
nike site w-83
1abandoned
8
"2012-12-26T05:52:13"
/r/abandoned/comments/15gesd/nike_site_w83_herndondranesville_va_late_90searly/
null
15lmp6
climb_like_a_girl
https://i.imgur.com/h2KRj.jpg
What I was told is an abandoned paint factory.
what i was told is an abandoned paint factory.
1abandoned
19
"2012-12-29T00:42:17"
/r/abandoned/comments/15lmp6/what_i_was_told_is_an_abandoned_paint_factory/
null
15o6xx
LOLImBaker
http://i.imgur.com/pYjHn.jpg
I was told to post this here... (x-Post r/Pics)
i was told to post this here...
1abandoned
24
"2012-12-30T12:54:06"
/r/abandoned/comments/15o6xx/i_was_told_to_post_this_here_xpost_rpics/
null
15ofep
donebythehands
http://i.imgur.com/X48ky.jpg
mementoes [OC]
mementoes
1abandoned
38
"2012-12-30T17:08:53"
/r/abandoned/comments/15ofep/mementoes_oc/
null
15ydjj
kraftwrkr
http://i.imgur.com/78DaE.jpg
Bennet Junior College, Millbrook NY. A truly Massive wood-framed building. My Grandmother planned to attend andhad already had her belongings shipped there, but polio changed her plans.
bennet junior college, millbrook ny. a truly massive wood-framed building. my grandmother planned to attend andhad already had her belongings shipped there, but polio changed her plans.
1abandoned
78
"2013-01-04T15:57:38"
/r/abandoned/comments/15ydjj/bennet_junior_college_millbrook_ny_a_truly/
null
15yhiz
LuckkyXIII
http://i.imgur.com/HtzCi.jpg
Alcatraz
alcatraz
1abandoned
19
"2013-01-04T17:03:30"
/r/abandoned/comments/15yhiz/alcatraz/
null
16kw5u
None
http://i.imgur.com/LBS08.jpg
Abandoned "mobile" home near Curtis, Michigan
abandoned "mobile" home near curtis, michigan
1abandoned
24
"2013-01-14T23:05:09"
/r/abandoned/comments/16kw5u/abandoned_mobile_home_near_curtis_michigan/
null
16zz83
None
https://i.imgur.com/znEEeFd.jpg
Abandoned, unfinished hotel on the Canary Islands. [Album, 63 images]
abandoned, unfinished hotel on the canary islands.
1abandoned
34
"2013-01-21T17:52:24"
/r/abandoned/comments/16zz83/abandoned_unfinished_hotel_on_the_canary_islands/
null
171xs1
xmod14
http://i.imgur.com/RGdtipM.jpg
I see your abandoned factories and houses and raise you pripyat
i see your abandoned factories and houses and raise you pripyat
1abandoned
23
"2013-01-22T13:32:10"
/r/abandoned/comments/171xs1/i_see_your_abandoned_factories_and_houses_and/
null
17b3fr
None
http://i.imgur.com/3BRI2oU.jpg
Abandoned Amusement Parks [474 x 4315]
abandoned amusement parks
1abandoned
71
"2013-01-26T08:19:09"
/r/abandoned/comments/17b3fr/abandoned_amusement_parks_474_x_4315/
null
17c9bj
shickey718
https://i.imgur.com/Y9F8Stn.jpg
WWII P39/41 engine test and construction facilities
wwii p39/41 engine test and construction facilities
1abandoned
10
"2013-01-26T23:32:01"
/r/abandoned/comments/17c9bj/wwii_p3941_engine_test_and_construction_facilities/
null
17ecgv
None
http://i.imgur.com/vfsu6lx.jpg
Had a photoshoot here today. Oven still on, dead bees and birds all over, dolls all over the kids room, photo albums, the works. They must have just picked up and left really fast.
had a photoshoot here today. oven still on, dead bees and birds all over, dolls all over the kids room, photo albums, the works. they must have just picked up and left really fast.
1abandoned
16
"2013-01-28T00:42:50"
/r/abandoned/comments/17ecgv/had_a_photoshoot_here_today_oven_still_on_dead/
null
17i7h9
FusilDeChasse
http://i.imgur.com/dSuCCI0.jpg
Abandoned barge
abandoned barge
1abandoned
26
"2013-01-29T17:37:04"
/r/abandoned/comments/17i7h9/abandoned_barge/
null
17jsal
KlaysLover
http://i.imgur.com/c3kKxIR.jpg
House behind my boyfriend's lot
house behind my boyfriend's lot
1abandoned
19
"2013-01-30T06:40:49"
/r/abandoned/comments/17jsal/house_behind_my_boyfriends_lot/
null
17shri
QA_QuestionableActs
http://i.imgur.com/xRDjR8p.jpg
McGruff is into Crime . . .
mcgruff is into crime . . .
1abandoned
16
"2013-02-03T04:13:25"
/r/abandoned/comments/17shri/mcgruff_is_into_crime/
null
17t8oh
ResurrectionQ
http://i.imgur.com/DyzJtq2.jpg
A well in the woods with a box spring placed over it and a tree growing through the box spring. What's down there?
a well in the woods with a box spring placed over it and a tree growing through the box spring. what's down there?
1abandoned
77
"2013-02-03T16:46:34"
/r/abandoned/comments/17t8oh/a_well_in_the_woods_with_a_box_spring_placed_over/
null
17tsln
bencracknell
http://i.imgur.com/sKiZYkP.jpg
Abandoned boats in Manningtree, Essex
abandoned boats in manningtree, essex
1abandoned
31
"2013-02-03T21:38:30"
/r/abandoned/comments/17tsln/abandoned_boats_in_manningtree_essex/
null
17ynhr
catbatshit
http://i.imgur.com/NoXshQc.jpg
Crozet Tunnel VA
crozet tunnel va
1abandoned
45
"2013-02-05T23:05:18"
/r/abandoned/comments/17ynhr/crozet_tunnel_va/
null
182tg5
evaripapa
http://i.imgur.com/VUsSHAb.jpg
Saw this somewhere else and decided it belonged here
saw this somewhere else and decided it belonged here
1abandoned
26
"2013-02-07T18:32:38"
/r/abandoned/comments/182tg5/saw_this_somewhere_else_and_decided_it_belonged/
null
18854e
SorenDaBoss
http://i.imgur.com/9Felygz.jpg
Musconetcong Tunnel, Pattenburg NJ
musconetcong tunnel, pattenburg nj
1abandoned
35
"2013-02-10T02:18:01"
/r/abandoned/comments/18854e/musconetcong_tunnel_pattenburg_nj/
null
18a5gp
None
http://i.imgur.com/QbGNxgw.jpg
S.S. Independence before scrapping. (Photocred TunnelBug on Flickr)
s.s. independence before scrapping.
1abandoned
29
"2013-02-11T01:55:58"
/r/abandoned/comments/18a5gp/ss_independence_before_scrapping_photocred/
null
18aldr
kdwy22
http://i.imgur.com/Zz5qkcn.jpg
Found this house in the woods yesterday it looks like someone already broke in
found this house in the woods yesterday it looks like someone already broke in
1abandoned
13
"2013-02-11T05:41:17"
/r/abandoned/comments/18aldr/found_this_house_in_the_woods_yesterday_it_looks/
null
18f58f
igobywill
https://i.imgur.com/T4EQMLf.jpg
Shah Bay Ghost Hotel. Okinawa Japan
shah bay ghost hotel. okinawa japan
1abandoned
21
"2013-02-13T02:54:24"
/r/abandoned/comments/18f58f/shah_bay_ghost_hotel_okinawa_japan/
null
18ks30
wilson5500
http://i.imgur.com/4usDti8.jpg
Desert island
desert island
1abandoned
71
"2013-02-15T11:40:54"
/r/abandoned/comments/18ks30/desert_island/
null
18nisa
hellpony
https://i.imgur.com/en9NtHD.jpg
The abandoned 1966 Quo Vadis theater in Westland, Michigan. Designed by World Trade Center architect Minoru Yamasaki, its name translates from Latin to "Where are you going?" [x-post from r/abandonedporn]
the abandoned 1966 quo vadis theater in westland, michigan. designed by world trade center architect minoru yamasaki, its name translates from latin to "where are you going?"
1abandoned
10
"2013-02-16T20:14:36"
/r/abandoned/comments/18nisa/the_abandoned_1966_quo_vadis_theater_in_westland/
null
18npqn
None
http://i.imgur.com/3E1oQnt.jpg
Inside view of an abandoned house in Westfield, IN
inside view of an abandoned house in westfield, in
1abandoned
15
"2013-02-16T22:04:14"
/r/abandoned/comments/18npqn/inside_view_of_an_abandoned_house_in_westfield_in/
null
18o19y
None
http://i.imgur.com/azXmilN.jpg
Deserted and demolished house in Westfield IN [x-post from r/abandonedporn
deserted and demolished house in westfield in [x-post from r/abandonedporn
1abandoned
13
"2013-02-17T01:10:28"
/r/abandoned/comments/18o19y/deserted_and_demolished_house_in_westfield_in/
null
18u892
GlorieBee
http://i.imgur.com/wKtjM9c.jpg
Dangerously Close to Collapse
dangerously close to collapse
1abandoned
36
"2013-02-19T20:48:19"
/r/abandoned/comments/18u892/dangerously_close_to_collapse/
null
18wa9v
Calamityjoy
http://i.imgur.com/WjY00CN.jpg
This house was abandoned in Florida, there is no known owner so therefore cannot sell it. Very old spanish style house.
this house was abandoned in florida, there is no known owner so therefore cannot sell it. very old spanish style house.
1abandoned
29
"2013-02-20T17:39:17"
/r/abandoned/comments/18wa9v/this_house_was_abandoned_in_florida_there_is_no/
null
1921hj
cheese93007
https://i.imgur.com/ZJlt6F9.jpg
Abandoned Mansion in North Texas [album] [x-post /r/urbanexploration]
abandoned mansion in north texas
1abandoned
28
"2013-02-23T01:26:56"
/r/abandoned/comments/1921hj/abandoned_mansion_in_north_texas_album_xpost/
null
195987
Beastwallet
http://i.imgur.com/BB7OJeN.jpg
Overhead surgical light. Beach Army Hospital, Mineral Wells, Tx. More pics/details in comments.
overhead surgical light. beach army hospital, mineral wells, tx. more pics/details in comments.
1abandoned
21
"2013-02-24T19:40:15"
/r/abandoned/comments/195987/overhead_surgical_light_beach_army_hospital/
null
19ayog
None
http://i.imgur.com/aDA4nQp.jpg
An abandoned farmhouse out by my friend's that we explored. This fridge was almost all the way through the floor.
an abandoned farmhouse out by my friend's that we explored. this fridge was almost all the way through the floor.
1abandoned
40
"2013-02-27T03:18:42"
/r/abandoned/comments/19ayog/an_abandoned_farmhouse_out_by_my_friends_that_we/
null
19dh3q
rand0mlygenerat3d
https://i.imgur.com/aEtjHXM.jpg
This Old House
this old house
1abandoned
28
"2013-02-28T03:28:25"
/r/abandoned/comments/19dh3q/this_old_house/
null
19fk50
sumdumgurl
http://i.imgur.com/ibt9WQV.jpg
Broken bridge at Waterloo village, NJ
broken bridge at waterloo village, nj
1abandoned
35
"2013-03-01T00:47:55"
/r/abandoned/comments/19fk50/broken_bridge_at_waterloo_village_nj/
null
19fvwu
timewilltell44
http://i.imgur.com/folM6Hp.jpg
Abandoned Trenton-Princeton Traction Company Bridge near Rosedale Road in Princeton, NJ
abandoned trenton-princeton traction company bridge near rosedale road in princeton, nj
1abandoned
26
"2013-03-01T03:25:53"
/r/abandoned/comments/19fvwu/abandoned_trentonprinceton_traction_company/
null
19ifdx
None
http://i.imgur.com/fb8Ap6G.jpg
Old Jeep alongside the road near Pescadero, CA.
old jeep alongside the road near pescadero, ca.
1abandoned
30
"2013-03-02T06:19:44"
/r/abandoned/comments/19ifdx/old_jeep_alongside_the_road_near_pescadero_ca/
null
19jddp
None
https://i.imgur.com/82sqa5V.jpg
Abandoned mall in Rock Hill, SC (2005)
abandoned mall in rock hill, sc
1abandoned
33
"2013-03-02T20:14:04"
/r/abandoned/comments/19jddp/abandoned_mall_in_rock_hill_sc_2005/
null
19ov2r
TrippinTrips
https://i.imgur.com/vu6kRiu.jpg
An interesting warehouse in a ghost town (X-post from /r/urbanexploration)
an interesting warehouse in a ghost town
1abandoned
6
"2013-03-05T05:14:58"
/r/abandoned/comments/19ov2r/an_interesting_warehouse_in_a_ghost_town_xpost/
null
19vbmn
Name-Invalid
http://i.imgur.com/RSdUqzU.jpg
Abandoned General Store
abandoned general store
1abandoned
30
"2013-03-07T21:32:23"
/r/abandoned/comments/19vbmn/abandoned_general_store/
null
1a26ky
The_repostman
http://i.imgur.com/X17LOem.jpg
Scrapped taxis outside Chongqing, China
scrapped taxis outside chongqing, china
1abandoned
68
"2013-03-11T03:04:21"
/r/abandoned/comments/1a26ky/scrapped_taxis_outside_chongqing_china/
null
1a2jrv
0verstim
https://i.imgur.com/m4Ibwv4.jpg
Abandoned Kuwait army outpost
abandoned kuwait army outpost
1abandoned
11
"2013-03-11T07:04:55"
/r/abandoned/comments/1a2jrv/abandoned_kuwait_army_outpost/
null
1a72pz
Alaskanweed
http://i.imgur.com/si6ALes.jpg
Underland Wonderland Portland Mine 1890 Douglas, Alaska
underland wonderland portland mine 1890 douglas, alaska
1abandoned
20
"2013-03-13T04:07:50"
/r/abandoned/comments/1a72pz/underland_wonderland_portland_mine_1890_douglas/
null
1ajzwt
mango2407
http://i.imgur.com/eStzsIx.jpg
Abandoned house in Newfoundland
abandoned house in newfoundland
1abandoned
12
"2013-03-18T22:58:40"
/r/abandoned/comments/1ajzwt/abandoned_house_in_newfoundland/
null
1akwc0
Anth84
http://i.imgur.com/A4liAcb.jpg
An abandoned pool, at an old military base, that is now a dog park.
an abandoned pool, at an old military base, that is now a dog park.
1abandoned
14
"2013-03-19T06:42:27"
/r/abandoned/comments/1akwc0/an_abandoned_pool_at_an_old_military_base_that_is/
null
1an7n2
themanwichman
http://i.imgur.com/t0Ed24d.jpg
Tank in the woods
tank in the woods
1abandoned
89
"2013-03-20T04:21:37"
/r/abandoned/comments/1an7n2/tank_in_the_woods/
null
1apr76
None
http://i.imgur.com/7z8VzDW.jpg
Adventure.
adventure.
1abandoned
13
"2013-03-21T04:43:29"
/r/abandoned/comments/1apr76/adventure/
null
1apva1
AirRayne23
http://i.imgur.com/6a2KEOY.jpg
Abandoned railroad along the Ohio River.
abandoned railroad along the ohio river.
1abandoned
42
"2013-03-21T05:57:50"
/r/abandoned/comments/1apva1/abandoned_railroad_along_the_ohio_river/
null
1b6jxi
ResurrectionQ
http://i.imgur.com/67vMa3n.jpg
Home of The Well In The Woods; taken last weekend. The foundation has shifted so bad that the whole house leans over, on top of that; it is missing a room. I have some pictures of the inside, but it is dark. Let me know if you want them.
home of the well in the woods; taken last weekend. the foundation has shifted so bad that the whole house leans over, on top of that; it is missing a room. i have some pictures of the inside, but it is dark. let me know if you want them.
1abandoned
35
"2013-03-28T15:39:26"
/r/abandoned/comments/1b6jxi/home_of_the_well_in_the_woods_taken_last_weekend/
null

Dataset Card for RedCaps

Dataset Summary

RedCaps is a large-scale dataset of 12M image-text pairs collected from Reddit. Images and captions from Reddit depict and describe a wide variety of objects and scenes. The data is collected from a manually curated set of subreddits (350 total), which give coarse image labels and allow steering of the dataset composition without labeling individual instances. RedCaps data is created by the people, for the people – it contains everyday things that users like to share on social media, for example hobbies (r/crafts) and pets (r/shiba). Captions often contain specific and fine-grained descriptions (northern cardinal, taj mahal). Subreddit names provide relevant image labels (r/shiba) even when captions may not (mlem!), and sometimes may group many visually unrelated images through a common semantic meaning (r/perfectfit).

Dataset Preprocessing

This dataset doesn't download the images locally by default. Instead, it exposes URLs to the images. To fetch the images, use the following code:

from concurrent.futures import ThreadPoolExecutor
from functools import partial
import io
import urllib

import PIL.Image

from datasets import load_dataset
from datasets.utils.file_utils import get_datasets_user_agent


USER_AGENT = get_datasets_user_agent()


def fetch_single_image(image_url, timeout=None, retries=0):
    for _ in range(retries + 1):
        try:
            request = urllib.request.Request(
                image_url,
                data=None,
                headers={"user-agent": USER_AGENT},
            )
            with urllib.request.urlopen(request, timeout=timeout) as req:
                image = PIL.Image.open(io.BytesIO(req.read()))
            break
        except Exception:
            image = None
    return image


def fetch_images(batch, num_threads, timeout=None, retries=0):
    fetch_single_image_with_args = partial(fetch_single_image, timeout=timeout, retries=retries)
    with ThreadPoolExecutor(max_workers=num_threads) as executor:
        batch["image"] = list(executor.map(fetch_single_image_with_args, batch["image_url"]))
    return batch


num_threads = 20
dset = load_dataset("red_caps", "rabbits_2017")
dset = dset.map(fetch_images, batched=True, batch_size=100, fn_kwargs={"num_threads": num_threads})

Some image links point to more than one image. You can process and downloaded those as follows:

from concurrent.futures import ThreadPoolExecutor
from functools import partial
import io
import os
import re
import urllib

import PIL.Image

import datasets
from datasets import load_dataset
from datasets.utils.file_utils import get_datasets_user_agent


USER_AGENT = get_datasets_user_agent()


def fetch_single_image(image_url, timeout=None, retries=0):
    for _ in range(retries + 1):
        try:
            request = urllib.request.Request(
                image_url,
                data=None,
                headers={"user-agent": USER_AGENT},
            )
            with urllib.request.urlopen(request, timeout=timeout) as req:
                image = PIL.Image.open(io.BytesIO(req.read()))
            break
        except Exception:
            image = None
    return image


def fetch_images(batch, num_threads, timeout=None, retries=0):
    fetch_single_image_with_args = partial(fetch_single_image, timeout=timeout, retries=retries)
    with ThreadPoolExecutor(max_workers=num_threads) as executor:
        batch["image"] = list(executor.map(lambda image_urls: [fetch_single_image_with_args(image_url) for image_url in image_urls], batch["image_url"]))
    return batch


def process_image_urls(batch):
    processed_batch_image_urls = []
    for image_url in batch["image_url"]:
        processed_example_image_urls = []
        image_url_splits = re.findall(r"http\S+", image_url)
        for image_url_split in image_url_splits:
            if "imgur" in image_url_split and "," in image_url_split:
                for image_url_part in image_url_split.split(","):
                    if not image_url_part:
                        continue
                    image_url_part = image_url_part.strip()
                    root, ext = os.path.splitext(image_url_part)
                    if not root.startswith("http"):
                      root = "http://i.imgur.com/" + root
                    root = root.split("#")[0]
                    if not ext:
                      ext = ".jpg"
                    ext = re.split(r"[?%]", ext)[0]
                    image_url_part = root + ext
                    processed_example_image_urls.append(image_url_part)
            else:
                processed_example_image_urls.append(image_url_split)
        processed_batch_image_urls.append(processed_example_image_urls)
    batch["image_url"] = processed_batch_image_urls
    return batch


dset = load_dataset("red_caps", "rabbits_2017")
dset = dset.map(process_image_urls, batched=True, num_proc=4)
features = dset["train"].features.copy()
features["image"] = datasets.Sequence(datasets.Image())
num_threads = 20
dset = dset.map(fetch_images, batched=True, batch_size=100, features=features, fn_kwargs={"num_threads": num_threads})

Note that in the above code, we use the datasets.Sequence feature to represent a list of images for the multi-image links.

Supported Tasks and Leaderboards

From the paper:

We have used our dataset to train deep neural networks that perform image captioning, and that learn transferable visual representations for a variety of downstream visual recognition tasks (image classification, object detection, instance segmentation).

We anticipate that the dataset could be used for a variety of vision-and-language (V&L) tasks, such as image or text retrieval or text-to-image synthesis.

Languages

All of the subreddits in RedCaps use English as their primary language.

Dataset Structure

Data Instances

Each instance in RedCaps represents a single Reddit image post:

{
  'image_id': 'bpzj7r',
  'author': 'djasz1',
  'image_url': 'https://i.redd.it/ho0wntksivy21.jpg',
  'raw_caption': 'Found on a friend’s property in the Keys FL. She is now happily living in my house.',
  'caption': 'found on a friend's property in the keys fl. she is now happily living in my house.', 'subreddit': 3,
  'score': 72,
  'created_utc': datetime.datetime(2019, 5, 18, 1, 36, 41),
  'permalink': '/r/airplants/comments/bpzj7r/found_on_a_friends_property_in_the_keys_fl_she_is/', 'crosspost_parents': None
}

Data Fields

  • image_id: Unique alphanumeric ID of the image post (assigned by Reddit).
  • author: Reddit username of the image post author.
  • image_url: Static URL for downloading the image associated with the post.
  • raw_caption: Textual description of the image, written by the post author.
  • caption: Cleaned version of "raw_caption" by us (see Q35).
  • subreddit: Name of subreddit where the post was submitted.
  • score: Net upvotes (discounting downvotes) received by the image post. This field is equal to None if the image post is a crosspost.
  • created_utc: Integer time epoch (in UTC) when the post was submitted to Reddit.
  • permalink: Partial URL of the Reddit post (https://reddit.com/).
  • crosspost_parents: List of parent posts. This field is optional.

Data Splits

All the data is contained in training set. The training set has nearly 12M (12,011,111) instances.

From the paper:

We intend our dataset to be primarily used for pre-training with one or more specific downstream task(s) in mind. Hence, all instances in our dataset would be used for training while the validation split is derived from downstream task(s). If users require a validation split, we recommend sampling it such that it follows the same subreddit distribution as entire dataset.

Dataset Creation

Curation Rationale

From the paper:

Large datasets of image-text pairs are widely used for pre-training generic representations that transfer to a variety of downstream vision and vision-and-language tasks. Existing public datasets of this kind were curated from search engine results (SBU Captions [1]) or HTML alt-text from arbitrary web pages (Conceptual Captions [2, 31]). They performed complex data filtering to deal with noisy web data. Due to aggressive filtering, their data collection is inefficient and diversity is artificially supressed. We argue that the quality of data depends on its source, and the human intent behind its creation. In this work, we explore Reddit – a social media platform, for curating high quality data. We introduce RedCaps – a large dataset of 12M image-text pairs from Reddit. While we expect the use-cases of RedCaps to be similar to existing datasets, we discuss how Reddit as a data source leads to fast and lightweight collection, better data quality, lets us easily steer the data distribution, and facilitates ethically responsible data curation.

Source Data

Initial Data Collection and Normalization

From the paper:

Data Collection Pipeline Reddit’s uniform structure allows us to parallelize data collection as independent tasks – each task involves collecting posts submitted to a single subreddit in one year. Our collection pipeline has three steps: (1) subreddit selection, (2) image post filtering, and (3) caption cleaning. Step 1. Subreddit selection: We collect data from a manually curated set of subreddits. Subreddits have their own rules, community norms, and moderators so curating subreddits allows us to steer the dataset’s composition without annotating individual instances. We select subreddits with a high volume of images posts, where images tend to be photographs (rather than memes, drawings, screenshots, etc) and post titles tend to describe image content (rather than making jokes, political commentary, etc). We do not select any NSFW, banned, or quarantined subreddits. We want to minimize the number of people that appear in RedCaps, so we omit subreddits whose primary purpose is to share or comment on images of people (such as celebrity pics or user selfies). We choose subreddits focused on general photography (r/pics, r/itookapicture), animals (r/axolotls, r/birdsofprey, r/dachshund), plants (r/roses, r/succulents), objects (r/classiccars, r/trains, r/mechanicalkeyboards), food (r/steak, r/macarons), scenery (r/cityporn1 , r/desertporn), or activities (r/carpentry, r/kayaking). In total we collect data from 350 subreddits; the full list can be found in Appendix A. Step 2. Image post filtering: We use Pushshift [41] and Reddit [42, 43] APIs to download all image posts submitted to our selected subreddits from 2008–2020. Posts are collected at least six months after their creation to let upvotes stabilize. We only collect posts with images hosted on three domains: Reddit (i.redd.it), Imgur (i.imgur.com), and Flickr (staticflickr.com). Some image posts contain multiple images (gallery posts) – in this case we only collect the first image and associate it with the caption. We discard posts with < 2 upvotes to avoid unappealing content, and we discard posts marked NSFW (by their authors or subreddit moderators) to avoid pornographic or disturbing content. Step 3. Caption cleaning: We expect Reddit post titles to be less noisy than other large-scale sources of image captions such as alt-text [2, 31], so we apply minimal text cleaning. We lowercase captions and use ftfy [44] to remove character accents, emojis, and non-latin characters, following [29, 35, 36]. Then we apply simple pattern matching to discard all sub-strings enclosed in brackets ((.), [.]). These sub-strings usually give non-semantic information: original content tags [oc], image resolutions (800x600 px), camera specs (shot with iPhone), self-promotion [Instagram: @user], and other references (link in comments). Finally, like [31] we replace social media handles (words starting with ‘@’) with a [USR] token to protect user privacy and reduce redundancy. Due to such filtering, ≈12K (0.1%) captions in our dataset are empty strings. We do not discard them, as subreddit names alone provide meaningful supervision. Unlike CC-3M or CC-12M that discard captions without nouns or that don’t overlap image tags, we do not discard any instances in this step. Through this pipeline, we collect 13.4M instances from 350 subreddits. Our collection pipeline is less resource-intensive than existing datasets – we do not require webpage crawlers, search engines, or large databases of indexed webpages. RedCaps is easily extensible in the future by selecting more subreddits and collecting posts from future years. Next, we perform additional filtering to mitigate user privacy risks and harmful stereotypes in RedCaps, resulting in final size of 12M instances.

Who are the source language producers?

Reddit is the singular data source for RedCaps.

Annotations

Annotation process

The dataset is built using fully automatic data collection pipeline which doesn't require any human annotators.

Who are the annotators?

The annotation process doesn't require any human annotators.

Personal and Sensitive Information

From the paper:

Does the dataset relate to people? The dataset pertains to people in that people wrote the captions and posted images to Reddit that we curate in RedCaps. We made specific design choices while curating RedCaps to avoid large quantities of images containing people: (a) We collect data from manually curated subreddits in which most contain primarily pertains to animals, objects, places, or activities. We exclude all subreddits whose primary purpose is to share and describe images of people (such as celebrity photos or user selfies). (b) We use an off-the-shelf face detector to find and remove images with potential presence of human faces. We manually checked 50K random images in RedCaps (Q16) and found 79 images with identifiable human faces – the entire dataset may have ≈19K (0.15%) images with identifiable people. Refer Section 2.2 in the main paper.

Is it possible to identify one or more natural persons, either directly or indirectly (i.e., in combination with other data) from the dataset? Yes, all instances in RedCaps include Reddit usernames of their post authors. This could be used to look up the Reddit user profile, and some Reddit users may have identifying information in their profiles. Some images may contain human faces which could be identified by appearance. However, note that all this information is already public on Reddit, and searching it in RedCaps is no easier than searching directly on Reddit.

Were the individuals in question notified about the data collection? No. Reddit users are anonymous by default, and are not required to share their personal contact information (email, phone numbers, etc.). Hence, the only way to notify the authors of RedCaps image posts is by sending them private messages on Reddit. This is practically difficult to do manually, and will be classified as spam and blocked by Reddit if attempted to programmatically send a templated message to millions of users.

Did the individuals in question consent to the collection and use of their data? Users did not explicitly consent to the use of their data in our dataset. However, by uploading their data on Reddit, they consent that it would appear on the Reddit plaform and will be accessible via the official Reddit API (which we use to collect RedCaps).

If consent was obtained, were the consenting individuals provided with a mechanism to revoke their consent in the future or for certain uses? Users have full control over the presence of their data in our dataset. If users wish to revoke their consent, they can delete the underlying Reddit post – it will be automatically removed dfrom RedCaps since we distributed images as URLs. Moreover, we provide an opt-out request form on our dataset website for anybody to request removal of an individual instance if it is potentially harmful (e.g. NSFW, violates privacy, harmful stereotypes, etc.).

Considerations for Using the Data

Social Impact of Dataset

From the paper:

Has an analysis of the potential impact of the dataset and its use on data subjects (e.g., a data protection impact analysis) been conducted? No.

Discussion of Biases

From the paper:

Harmful Stereotypes: Another concern with Reddit data is that images or language may represent harmful stereotypes about gender, race, or other characteristics of people [48, 49, 51]. We select only non-NSFW subreddits with active moderation for collecting data. This stands in contrast to less curated uses of Reddit data, such as GPT-2 [35] whose training data includes at least 63K documents from banned or quarantined subreddits which may contain toxic language [53]. We attempt to further reduce harmful stereotypes in two ways:

  • NSFW images: We use the InceptionV3 [54] model from [55] to filter images detected as porn or hentai with confidence ≥ 0.9. Similar to face filtering, we estimated precision of our filtering and estimated amount of missed detections, shown in Table 1. The model detects 87K images with low precision (∼1%) – most detections are non-NSFW images with pink and beige hues.
  • Potentially derogatory language: We filter instances whose captions contain words or phrases from a common blocklist [56]. It is important to note that such coarse filtering might suppress language from marginalized groups reclaiming slurs [51]; however, as RedCaps is not intended to describe people, we believe this is a pragmatic tradeoff to avoid propagating harmful labels.

Reddit demographics: Reddit’s user demographics are not representative of the population at large. Compared to US adults, Reddit users skew male (69% vs 49%), young (58% 18-29 years old vs 22%), college educated (36% vs 28%), and politically liberal (41% vs 25%) [57]. Reddit users are predominantly white (63%) [57], and 49% of desktop traffic to Reddit comes from the United States [58]. All of the subreddits in RedCaps use English as their primary language. Taken together, these demographic biases likely also bias the types of objects and places that appear in images on Reddit, and the language used to describe these images. We do not offer explicit countermeasures to these biases, but users of RedCaps should keep in mind that size doesn’t guarantee diversity [51]. Subtler issues may also exist, such as imbalanced representation of demographic groups [59] or gender bias in object co-occurrence [60] or language [61]. These are hard to control in internet data, so we release RedCaps with explicit instructions on suitable use-cases; specifically requesting models not be trained to identify people, or make decisions that impact people. We document these instructions and other terms-of-use in a datasheet [45], provided in Appendix G.

Does the dataset contain data that, if viewed directly, might be offensive, insulting, threatening, or might otherwise cause anxiety? The scale of RedCaps means that we are unable to verify the contents of all images and captions. However we have tried to minimize the possibility that RedCaps contains data that might be offensive, insulting, threatening, or might cause anxiety via the following mitigations: (a) We manually curate the set of subreddits from which to collect data; we only chose subreddits that are not marked NSFW and which generally contain non-offensive content. (b) Within our curated subreddits, we did not include any posts marked NSFW. (c) We removed all instances whose captions contained any of the 400 potentially offensive words or phrases. Refer Section 2.2 in the main paper. (d) We remove all instances whose images were flagged NSFW by an off-the-shelf detector. We manually checked 50K random images in RedCaps and found one image containing nudity (exposed buttocks; no identifiable face). Refer Section 2.2 in the main paper

Does the dataset identify any subpopulations (e.g., by age, gender)? RedCaps does not explicitly identify any subpopulations. Since some images contain people and captions are free-form natural language written by Reddit users, it is possible that some captions may identify people appearing in individual images as part of a subpopulation.

Were any ethical review processes conducted (e.g., by an institutional review board)? We did not conduct a formal ethical review process via institutional review boards. However, as described in Section 2.2 of the main paper and Q16 we employed several filtering mechanisms to try and remove instances that could be problematic.

Other Known Limitations

From the paper:

Are there any errors, sources of noise, or redundancies in the dataset? RedCaps is noisy by design since image-text pairs on the internet are noisy and unstructured. Some instances may also have duplicate images and captions – Reddit users may have shared the same image post in multiple subreddits. Such redundancies constitute a very small fraction of the dataset, and should have almost no effect in training large-scale models.

Does the dataset contain data that might be considered confidential (e.g., data that is protected by legal privilege or by doctor-patient confidentiality, data that includes the content of individuals non-public communications)? No, the subreddits included in RedCaps do not cover topics that may be considered confidential. All posts were publicly shared on Reddit prior to inclusion in RedCaps.

Additional Information

Dataset Curators

From the paper:

Four researchers at the University of Michigan (affiliated as of 2021) have created RedCaps: Karan Desai, Gaurav Kaul, Zubin Aysola, and Justin Johnson.

Licensing Information

The image metadata is licensed under CC-BY 4.0 license. Additionally, uses of this dataset are subject to Reddit API terms (https://www.reddit.com/wiki/ api-terms) and users must comply with Reddit User Agreeement, Content Policy, and Privacy Policy – all accessible at https://www.redditinc.com/policies.

From the paper:

RedCaps should only be used for non-commercial research. RedCaps should not be used for any tasks that involve identifying features related to people (facial recognition, gender, age, ethnicity identification, etc.) or make decisions that impact people (mortgages, job applications, criminal sentences; or moderation decisions about user-uploaded data that could result in bans from a website). Any commercial and for-profit uses of RedCaps are restricted – it should not be used to train models that will be deployed in production systems as part of a product offered by businesses or government agencies.

Citation Information

@misc{desai2021redcaps,
      title={RedCaps: web-curated image-text data created by the people, for the people},
      author={Karan Desai and Gaurav Kaul and Zubin Aysola and Justin Johnson},
      year={2021},
      eprint={2111.11431},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Contributions

Thanks to @mariosasko for adding this dataset.

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