Datasets:

Modalities:
Image
Text
Formats:
parquet
ArXiv:
Libraries:
Datasets
Dask
License:
fgranqvist commited on
Commit
a37706e
·
verified ·
1 Parent(s): 19f45d5

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
53
  *.jpg filter=lfs diff=lfs merge=lfs -text
54
  *.jpeg filter=lfs diff=lfs merge=lfs -text
55
  *.webp filter=lfs diff=lfs merge=lfs -text
 
 
53
  *.jpg filter=lfs diff=lfs merge=lfs -text
54
  *.jpeg filter=lfs diff=lfs merge=lfs -text
55
  *.webp filter=lfs diff=lfs merge=lfs -text
56
+ ATTRIBUTION.txt filter=lfs diff=lfs merge=lfs -text
ATTRIBUTION.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6546b526ceb1717fcf908ae222e6b4bc2e0be9d051ebe06798a91b55bb3783a9
3
+ size 59364760
README.md CHANGED
@@ -1,38 +1,99 @@
1
- ---
2
- license: cc-by-nc-4.0
3
- dataset_info:
4
- features:
5
- - name: user_id
6
- dtype: string
7
- - name: image_id
8
- dtype: int64
9
- - name: labels
10
- sequence: string
11
- - name: partition
12
- dtype: string
13
- - name: fine_grained_labels
14
- sequence: string
15
- - name: image
16
- dtype: image
17
- splits:
18
- - name: train
19
- num_bytes: 4658458558.710612
20
- num_examples: 345879
21
- - name: test
22
- num_bytes: 573966691.0054843
23
- num_examples: 43960
24
- - name: val
25
- num_bytes: 507973541.4059026
26
- num_examples: 39239
27
- download_size: 5677054504
28
- dataset_size: 5740398791.122
29
- configs:
30
- - config_name: default
31
- data_files:
32
- - split: train
33
- path: data/train-*
34
- - split: test
35
- path: data/test-*
36
- - split: val
37
- path: data/val-*
38
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-4.0
3
+ task_categories:
4
+ - image-classification
5
+ tags:
6
+ - federated-learning
7
+ - differential-privacy
8
+ pretty_name: FLAIR
9
+ ---
10
+
11
+ # Federated Learning Annotated Image Repository (FLAIR): A large labelled image dataset for benchmarking in federated learning
12
+
13
+ **FLAIR was published at NeurIPS 2022 ([paper](https://arxiv.org/abs/2207.08869))**
14
+
15
+ **(Preferred) Benchmarking FLAIR is available in pfl-research ([repo](https://github.com/apple/pfl-research/tree/develop/benchmarks/flair), [paper](https://arxiv.org/abs/2404.06430)).**
16
+
17
+ **The [ml-flair](https://github.com/apple/ml-flair) repo contains a setup for benchmarking with TensorFlow Federated and notebooks for exploring data.**
18
+
19
+
20
+ FLAIR is a large dataset of images that captures a number of characteristics encountered in federated learning (FL) and privacy-preserving ML tasks.
21
+ This dataset comprises approximately 430,000 images from 51,000 Flickr users, which will better reflect federated learning problems arising in practice, and it is being released to aid research in the field.
22
+
23
+ ![alt text](readme_attachments/FLAIR_sample.jpeg)
24
+
25
+ ## Image Labels
26
+ These images have been annotated by humans and assigned labels from a taxonomy of more than 1,600 fine-grained labels.
27
+ All main subjects present in the images have been labeled, so images may have multiple labels.
28
+ The taxonomy is hierarchical where the fine-grained labels can be mapped to 17 coarse-grained categories.
29
+ The dataset includes both fine-grained and coarse-grained labels so researchers can vary the complexity of a machine learning task.
30
+
31
+ ## User Labels and their use for Federated Learning
32
+ We have used image metadata to extract artist names/IDs for the purposes of creating user datasets for federated learning.
33
+ While optimization algorithms for machine learning are often designed under the assumption that each example is an independent sample from the distribution, federated learning applications deviate from this assumption in a few different ways that are reflected in our user-annotated examples.
34
+ Different users differ in the number of images they have, as well as the number of classes represented in their image collection.
35
+ Further, images of the same class but taken by different users are likely to have some distribution shift.
36
+ These properties of the dataset better reflect federated learning applications, and we expect that benchmark tasks on this dataset will benefit from algorithms designed to handle such data heterogeneity.
37
+
38
+ ## Dataset split
39
+ We include a standard train/val/test.
40
+ The partition is based on user ids with ratio 8:1:1, i.e. train, val and test sets have disjoint users.
41
+ Below are the numbers for each partition:
42
+
43
+ | Partition | Train | Val | Test |
44
+ | ---------------- | ------- | ------ | ------ |
45
+ | Number of users | 41,131 | 5,141 | 5,142 |
46
+ | Number of images | 345,879 | 39,239 | 43,960 |
47
+
48
+ We recommend using the provided split for reproducible benchmarks.
49
+
50
+
51
+ ## Dataset structure
52
+
53
+ ```
54
+ {'user_id': '59769174@N00',
55
+ 'image_id': 14913474848,
56
+ 'labels': ['equipment', 'material', 'structure'],
57
+ 'partition': 'train',
58
+ 'fine_grained_labels': ['bag', 'document', 'furniture', 'material', 'printed_page'],
59
+ 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=256x256>}
60
+ ```
61
+
62
+ Field `image_id` is the Flickr PhotoID and `user_id` is the Flickr NSID that owns the image.
63
+ Group by `user_id` to construct a realistic heterogeneous federated dataset.
64
+ Field `partition` denotes which `train/dev/test` partition the image belongs to.
65
+ Field `fine_grained_labels` is a list of annotated labels presenting the subjects in the image and `labels` is the list of coarse-grained labels obtained by mapping fine-grained labels to higher-order categories.
66
+ The file `label_relationship.txt` includes the mapping from ~1,600 fine-grained labels to 17 higher-order categories.
67
+
68
+ ## (Recommended) Benchmark FLAIR with pfl-research
69
+ Available at https://github.com/apple/pfl-research/tree/develop/benchmarks/flair.
70
+
71
+ ## Benchmark FLAIR with TensorFlow Federated
72
+ Available at https://github.com/apple/ml-flair.
73
+ This repo also provide scripts to explore the images and labels in more detail.
74
+
75
+ ## Prepare the dataset in HDF5
76
+ We found a single HDF5 file to be efficient for FL.
77
+ If you want to process the dataset for general usage in FL, we recommend using [this preprocessing script](https://github.com/apple/pfl-research/blob/develop/benchmarks/dataset/flair/prepare_dataset.py) to construct a HDF5 file.
78
+
79
+ By default the script will group the images and labels by train/val/test split and then by user ids, making it suitable for federated learning experiments.
80
+ With the flag `--not_group_data_by_user`, the script will simply group the images and labels by train/val/test split and ignore the user ids, which is the typical setup for centralized training. \
81
+ ⚠️ Warning: the hdf5 file take up to ~80GB disk space to store after processing.
82
+
83
+ ## Disclaimer
84
+ The annotations and Apple’s other rights in the dataset are licensed under CC-BY-NC 4.0 license.
85
+ The images are copyright of the respective owners, the license terms of which can be found using the links provided in ATTRIBUTIONS.TXT (by matching the Image ID).
86
+ Apple makes no representations or warranties regarding the license status of each image and you should verify the license for each image yourself.
87
+
88
+ ## Citing FLAIR
89
+
90
+ ```
91
+ @article{song2022flair,
92
+ title={FLAIR: Federated Learning Annotated Image Repository},
93
+ author={Song, Congzheng and Granqvist, Filip and Talwar, Kunal},
94
+ journal={Advances in Neural Information Processing Systems},
95
+ volume={35},
96
+ pages={37792--37805},
97
+ year={2022}
98
+ }
99
+ ```
label_relationship.txt ADDED
@@ -0,0 +1,1639 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ abacus -> equipment
2
+ abalone -> animal
3
+ accordion -> music
4
+ acorn -> food
5
+ adult_cat -> animal
6
+ agriculture -> outdoor
7
+ aircraft -> equipment
8
+ aircraft_other -> equipment
9
+ airplane -> equipment
10
+ airport -> structure
11
+ airshow -> recreation
12
+ alley -> outdoor
13
+ alligator_crocodile -> animal
14
+ almond -> food
15
+ altar -> religion
16
+ ambulance -> equipment
17
+ ammunition -> equipment
18
+ amusement_park -> outdoor
19
+ amusement_park_other -> outdoor
20
+ anchovy -> animal
21
+ angelfish -> animal
22
+ animal_other -> animal
23
+ animal_unknown -> animal
24
+ ant -> animal
25
+ antenna -> structure
26
+ antipasti -> food
27
+ anvil -> equipment
28
+ apartment -> structure
29
+ apple -> food
30
+ apple_logo -> equipment
31
+ applesauce -> food
32
+ appliance -> equipment
33
+ appliance_other -> equipment
34
+ appliance_unknown -> equipment
35
+ apricot -> food
36
+ apron -> equipment
37
+ aquarium -> structure
38
+ aquatic_plant -> plant
39
+ arachnid_other -> animal
40
+ arch -> structure
41
+ archery -> recreation
42
+ arena -> structure
43
+ armchair -> structure
44
+ art_other -> art
45
+ arthropods -> animal
46
+ arthropods_other -> animal
47
+ artichoke -> food
48
+ arugula -> food
49
+ asparagus -> food
50
+ athletics -> recreation
51
+ atm -> equipment
52
+ atv -> equipment
53
+ auditorium -> interior_room
54
+ aurora -> outdoor
55
+ australian_shepherd -> animal
56
+ automobile -> equipment
57
+ automobile_other -> equipment
58
+ avocado -> food
59
+ axe -> equipment
60
+ backgammon -> games
61
+ backhoe -> equipment
62
+ backpack -> equipment
63
+ backyard -> outdoor
64
+ bacon -> food
65
+ badminton -> recreation
66
+ bag -> equipment
67
+ bag_other -> equipment
68
+ bagel -> food
69
+ baked_goods -> food
70
+ baked_goods_other -> food
71
+ baklava -> food
72
+ balcony -> structure
73
+ ball -> recreation
74
+ ballet -> recreation
75
+ balloon -> art
76
+ balloon_hotair -> equipment
77
+ banana -> food
78
+ banner -> structure
79
+ bar -> interior_room
80
+ barbell -> recreation
81
+ barge -> equipment
82
+ barley -> food
83
+ barn -> structure
84
+ barnacle -> animal
85
+ barometer -> equipment
86
+ barracuda -> animal
87
+ barrel -> equipment
88
+ baseball -> recreation
89
+ baseball_bat -> recreation
90
+ baseball_hat -> equipment
91
+ basenji -> animal
92
+ basket_container -> equipment
93
+ basketball -> recreation
94
+ basset -> animal
95
+ bath -> interior_room
96
+ bathrobe -> equipment
97
+ bathroom -> interior_room
98
+ bathroom_faucet -> interior_room
99
+ bathroom_room -> interior_room
100
+ battery -> equipment
101
+ beach -> outdoor
102
+ beagle -> animal
103
+ bean -> food
104
+ bean_other -> food
105
+ beanie -> equipment
106
+ bear -> animal
107
+ beaver -> animal
108
+ bed -> structure
109
+ bedding -> equipment
110
+ bedroom -> interior_room
111
+ bee -> animal
112
+ beef -> food
113
+ beehive -> structure
114
+ beekeeping -> outdoor
115
+ beer -> liquid
116
+ beet -> food
117
+ begonia -> plant
118
+ bell -> music
119
+ bell_pepper -> food
120
+ belltower -> structure
121
+ bellydance -> recreation
122
+ bench -> structure
123
+ beret -> equipment
124
+ bernese_mountain -> animal
125
+ berry -> food
126
+ berry_other -> food
127
+ bib -> equipment
128
+ bichon -> animal
129
+ bicycle -> equipment
130
+ billboards -> structure
131
+ billiards -> recreation
132
+ bingo -> games
133
+ binoculars -> equipment
134
+ bird -> animal
135
+ bird_other -> animal
136
+ birdhouse -> structure
137
+ birthday_cake -> food
138
+ biryani -> food
139
+ biscotti -> food
140
+ biscuit -> food
141
+ bison -> animal
142
+ blackberry -> food
143
+ blackjack -> games
144
+ blade -> equipment
145
+ blade_other -> equipment
146
+ bleachers -> structure
147
+ blender -> equipment
148
+ blindfold -> equipment
149
+ blizzard -> outdoor
150
+ blocks -> equipment
151
+ blossom -> plant
152
+ blowtorch -> equipment
153
+ blue_sky -> outdoor
154
+ blueberry -> food
155
+ boa_scarf -> equipment
156
+ boar -> animal
157
+ board_game -> recreation
158
+ boat -> equipment
159
+ boat_other -> equipment
160
+ boat_unknown -> equipment
161
+ boathouse -> structure
162
+ bobcat -> animal
163
+ bodyboard -> recreation
164
+ bongo_drum -> music
165
+ bonsai -> plant
166
+ book -> equipment
167
+ bookshelf -> structure
168
+ boomerang -> equipment
169
+ boot -> equipment
170
+ bottle -> equipment
171
+ bouquet -> art
172
+ boutonniere -> art
173
+ bowl -> equipment
174
+ bowling -> recreation
175
+ bowtie -> equipment
176
+ boxing -> recreation
177
+ branch -> plant
178
+ brandy -> liquid
179
+ brassiere -> equipment
180
+ bread -> food
181
+ bread_other -> food
182
+ breakdancing -> recreation
183
+ brick -> material
184
+ brick_oven -> equipment
185
+ bride -> celebration
186
+ bridesmaid -> celebration
187
+ bridge -> structure
188
+ briefcase -> equipment
189
+ broccoli -> food
190
+ broom -> equipment
191
+ brownie -> food
192
+ bruschetta -> food
193
+ bubble_soap -> liquid
194
+ bubble_tea -> liquid
195
+ bucket -> equipment
196
+ building -> structure
197
+ building_other -> structure
198
+ bulldog -> animal
199
+ bulldozer -> equipment
200
+ bullfighting -> recreation
201
+ bullion -> equipment
202
+ bungee -> recreation
203
+ burrito -> food
204
+ bus -> equipment
205
+ butter -> food
206
+ butterfly -> animal
207
+ cabbage -> food
208
+ cabinet -> structure
209
+ cableway -> structure
210
+ cactus -> plant
211
+ cage -> structure
212
+ cake -> food
213
+ cake_other -> food
214
+ cake_regular -> food
215
+ cakestand -> equipment
216
+ calculator -> equipment
217
+ calendar -> equipment
218
+ caliper -> equipment
219
+ calzone -> food
220
+ camel -> animal
221
+ camera -> equipment
222
+ camping -> recreation
223
+ candle -> light
224
+ candlestick -> art
225
+ candy -> food
226
+ candy_cane -> celebration
227
+ candy_other -> food
228
+ canine -> animal
229
+ canine_other -> animal
230
+ canoe -> equipment
231
+ cantaloupe -> food
232
+ canyon -> outdoor
233
+ capers -> food
234
+ caprese -> food
235
+ car -> equipment
236
+ car_seat -> equipment
237
+ caramel -> food
238
+ cardboard_box -> equipment
239
+ caribou -> animal
240
+ carnation -> plant
241
+ carnival -> celebration
242
+ carousel -> outdoor
243
+ carrot -> food
244
+ cart -> equipment
245
+ cart_other -> equipment
246
+ carton -> equipment
247
+ cashew -> food
248
+ casino -> interior_room
249
+ casket -> equipment
250
+ casserole -> food
251
+ cassette -> equipment
252
+ castle -> structure
253
+ cat -> animal
254
+ caterpillar -> animal
255
+ catfish -> food
256
+ cauliflower -> food
257
+ cave -> structure
258
+ cd -> equipment
259
+ celery -> food
260
+ celestial_body -> outdoor
261
+ celestial_body_other -> outdoor
262
+ cellar -> interior_room
263
+ cello -> music
264
+ cellphone -> equipment
265
+ centipede -> animal
266
+ cephalopod -> animal
267
+ cereal -> food
268
+ ceremony -> celebration
269
+ cetacean -> animal
270
+ cetacean_other -> animal
271
+ chain -> equipment
272
+ chainsaw -> equipment
273
+ chair -> structure
274
+ chair_other -> structure
275
+ chairlift -> structure
276
+ chaise -> structure
277
+ chalkboard -> structure
278
+ chameleon -> animal
279
+ chandelier -> light
280
+ chart -> equipment
281
+ checkbook -> equipment
282
+ checkers -> games
283
+ cheerleading -> recreation
284
+ cheese -> food
285
+ cheesecake -> food
286
+ cheetah -> animal
287
+ cherry -> food
288
+ chess -> games
289
+ chestnut -> food
290
+ chewing_gum -> food
291
+ chihuahua -> animal
292
+ chimes -> music
293
+ chimney -> structure
294
+ chinchilla -> animal
295
+ chinese_wedding -> celebration
296
+ chisel -> equipment
297
+ chives -> food
298
+ chocolate -> food
299
+ chocolate_chip -> food
300
+ chopsticks -> equipment
301
+ christmas_decoration -> celebration
302
+ christmas_tree -> celebration
303
+ chrysanthemum -> plant
304
+ church_exterior -> structure
305
+ church_interior -> interior_room
306
+ chutney -> food
307
+ cider -> liquid
308
+ cigar -> equipment
309
+ cigarette -> equipment
310
+ cilantro -> food
311
+ cinnamon -> food
312
+ circuit_board -> equipment
313
+ circus -> recreation
314
+ citrus_fruit -> food
315
+ citrus_fruit_other -> food
316
+ cityscape -> structure
317
+ clam -> food
318
+ clamp -> equipment
319
+ clarinet -> music
320
+ classroom -> interior_room
321
+ cliff -> outdoor
322
+ cloak -> equipment
323
+ clock -> equipment
324
+ clock_tower -> structure
325
+ closet -> interior_room
326
+ clothesline -> equipment
327
+ clothespin -> equipment
328
+ clothing -> equipment
329
+ clothing_other -> equipment
330
+ cloudy -> outdoor
331
+ clover -> food
332
+ clownfish -> animal
333
+ cockatoo -> animal
334
+ cocktail -> liquid
335
+ cocktail_other -> liquid
336
+ coconut -> food
337
+ coffee -> liquid
338
+ coffee_bean -> food
339
+ coffee_grinder -> equipment
340
+ coffee_table -> structure
341
+ coffeemaker -> equipment
342
+ coffeepot -> equipment
343
+ coin -> equipment
344
+ cold_cuts -> food
345
+ coleslaw -> food
346
+ collie -> animal
347
+ compass -> equipment
348
+ computer -> equipment
349
+ computer_keyboard -> equipment
350
+ computer_monitor -> equipment
351
+ computer_mouse -> equipment
352
+ computer_other -> equipment
353
+ computer_tower -> equipment
354
+ concert -> recreation
355
+ conch -> animal
356
+ condiment -> food
357
+ condiment_other -> food
358
+ conference -> interior_room
359
+ consumer_electronics -> equipment
360
+ consumer_electronics_other -> equipment
361
+ container -> equipment
362
+ container_other -> equipment
363
+ convertible -> equipment
364
+ conveyance -> structure
365
+ conveyance_other -> structure
366
+ cookie -> food
367
+ cooking_oil -> food
368
+ cookware -> equipment
369
+ cookware_other -> equipment
370
+ coral_reef -> liquid
371
+ cord -> equipment
372
+ cord_other -> equipment
373
+ corgi -> animal
374
+ corkscrew -> equipment
375
+ corn -> food
376
+ cornflower -> plant
377
+ corsage -> art
378
+ corset -> equipment
379
+ cosmetic_tool -> equipment
380
+ costume -> celebration
381
+ cougar -> animal
382
+ coupon -> equipment
383
+ courtroom -> interior_room
384
+ cow -> animal
385
+ cowboy_hat -> equipment
386
+ coyote_wolf -> animal
387
+ crab -> food
388
+ crabmeat -> food
389
+ cranberry -> food
390
+ crane_construction -> structure
391
+ craps -> games
392
+ crate -> equipment
393
+ credit_card -> equipment
394
+ creek -> liquid
395
+ crepe -> food
396
+ crib -> structure
397
+ cricket_sport -> recreation
398
+ croissant -> food
399
+ crosswalk -> outdoor
400
+ crowbar -> equipment
401
+ crown -> equipment
402
+ crucible -> equipment
403
+ crucifix -> religion
404
+ cruise_ship -> equipment
405
+ crutch -> equipment
406
+ cubicle -> interior_room
407
+ cucumber -> food
408
+ cup -> equipment
409
+ cupcake -> food
410
+ currency -> equipment
411
+ curry -> food
412
+ curtain -> material
413
+ custard -> food
414
+ cutting_board -> equipment
415
+ cycling -> recreation
416
+ dachshund -> animal
417
+ daffodil -> plant
418
+ dahlia -> plant
419
+ daikon -> food
420
+ daisy -> plant
421
+ dalmatian -> animal
422
+ dam -> structure
423
+ dandelion -> food
424
+ dartboard -> recreation
425
+ dashboard -> equipment
426
+ decanter -> equipment
427
+ deck -> structure
428
+ decoration -> art
429
+ decoration_other -> art
430
+ decorative_plant -> plant
431
+ deer -> animal
432
+ desert -> outdoor
433
+ desk -> structure
434
+ dessert -> food
435
+ dessert_other -> food
436
+ detergent -> equipment
437
+ diagram -> equipment
438
+ dial -> equipment
439
+ dial_other -> equipment
440
+ diaper -> equipment
441
+ dice -> games
442
+ dill -> food
443
+ dining_room -> interior_room
444
+ dinosaur -> animal
445
+ diorama -> equipment
446
+ dirt_road -> outdoor
447
+ disco_ball -> light
448
+ dishwasher -> equipment
449
+ diskette -> equipment
450
+ ditch -> outdoor
451
+ diving -> recreation
452
+ doberman -> animal
453
+ dock -> structure
454
+ document -> equipment
455
+ document_other -> equipment
456
+ dog -> animal
457
+ dog_other -> animal
458
+ doll -> equipment
459
+ doll_house -> equipment
460
+ dolphin -> animal
461
+ dome -> structure
462
+ domicile -> structure
463
+ domicile_other -> structure
464
+ domino -> games
465
+ donkey -> animal
466
+ donut -> food
467
+ door -> structure
468
+ dove -> animal
469
+ dragon_parade -> celebration
470
+ dragonfly -> animal
471
+ dress -> equipment
472
+ dressage -> recreation
473
+ drink -> liquid
474
+ drink_other -> liquid
475
+ drink_unknown -> liquid
476
+ drinking_glass -> equipment
477
+ driveway -> outdoor
478
+ drone_machine -> equipment
479
+ drum -> music
480
+ dumbbell -> recreation
481
+ dumpling -> food
482
+ dumpster -> equipment
483
+ durian -> food
484
+ dustpan -> equipment
485
+ eagle -> animal
486
+ earmuffs -> equipment
487
+ easel -> art
488
+ easter_egg -> celebration
489
+ edamame -> food
490
+ egg -> food
491
+ egg_other -> food
492
+ eggplant -> food
493
+ electric_fan -> equipment
494
+ electronic_toy -> equipment
495
+ elephant -> animal
496
+ elevator -> structure
497
+ elk -> animal
498
+ embers -> fire
499
+ engine_vehicle -> equipment
500
+ engraving -> art
501
+ envelope -> equipment
502
+ equestrian -> recreation
503
+ equipment_other -> equipment
504
+ escalator -> structure
505
+ eucalyptus_tree -> plant
506
+ evergreen -> plant
507
+ extinguisher -> equipment
508
+ eyeglasses -> equipment
509
+ fairground -> outdoor
510
+ fajita -> food
511
+ falafel -> food
512
+ farm -> outdoor
513
+ fedora -> equipment
514
+ feline -> animal
515
+ feline_other -> animal
516
+ fence -> structure
517
+ fencing_sport -> recreation
518
+ ferns -> plant
519
+ ferret -> animal
520
+ ferris_wheel -> outdoor
521
+ fig -> food
522
+ figurine -> equipment
523
+ fire_other -> fire
524
+ firearm -> equipment
525
+ firearm_other -> equipment
526
+ firecracker -> fire
527
+ fireplace -> structure
528
+ firetruck -> equipment
529
+ fireworks -> fire
530
+ fish -> animal
531
+ fish_other -> animal
532
+ fish_unknown -> animal
533
+ fishbowl -> structure
534
+ fishing -> recreation
535
+ fishtank -> structure
536
+ flag -> art
537
+ flagpole -> structure
538
+ flame -> fire
539
+ flamingo -> animal
540
+ flan -> food
541
+ flashlight -> light
542
+ flipchart -> equipment
543
+ flipper -> equipment
544
+ flower -> plant
545
+ flower_arrangement -> art
546
+ flower_arrangement_other -> art
547
+ flower_other -> plant
548
+ flower_unknown -> plant
549
+ flute -> music
550
+ folding_chair -> structure
551
+ foliage -> plant
552
+ fondue -> food
553
+ food_other -> food
554
+ food_unknown -> food
555
+ foosball -> games
556
+ football -> recreation
557
+ footwear -> equipment
558
+ forceps -> equipment
559
+ forest -> plant
560
+ fork -> equipment
561
+ forklift -> equipment
562
+ formula_one_car -> equipment
563
+ fountain -> structure
564
+ fox -> animal
565
+ frame -> art
566
+ fried_chicken -> food
567
+ fried_egg -> food
568
+ fries -> food
569
+ frisbee -> equipment
570
+ frog -> animal
571
+ frozen_dessert -> food
572
+ frozen_dessert_other -> food
573
+ frozen_yogurt -> food
574
+ fruit -> food
575
+ fruit_other -> food
576
+ fruit_unknown -> food
577
+ fruitcake -> food
578
+ furniture -> structure
579
+ furniture_other -> structure
580
+ gamepad -> equipment
581
+ games_other -> games
582
+ garage -> structure
583
+ garden -> outdoor
584
+ gargoyle -> art
585
+ garlic -> food
586
+ gas_mask -> equipment
587
+ gastropod -> animal
588
+ gastropod_other -> animal
589
+ gate -> structure
590
+ gazebo -> structure
591
+ gears -> equipment
592
+ gecko -> animal
593
+ gerbil -> animal
594
+ german_shepherd -> animal
595
+ geyser -> liquid
596
+ gift -> celebration
597
+ gift_card -> equipment
598
+ ginger -> food
599
+ gingerbread -> food
600
+ ginseng -> food
601
+ giraffe -> animal
602
+ glacier -> liquid
603
+ glove -> equipment
604
+ glove_other -> equipment
605
+ go_kart -> equipment
606
+ goat -> animal
607
+ goggles -> equipment
608
+ goldfish -> animal
609
+ golf -> recreation
610
+ golf_ball -> recreation
611
+ golf_club -> recreation
612
+ golf_course -> recreation
613
+ gown -> equipment
614
+ graduation -> celebration
615
+ graffiti -> art
616
+ grain -> food
617
+ grain_other -> food
618
+ grand_prix -> recreation
619
+ grape -> food
620
+ grapefruit -> food
621
+ grass -> outdoor
622
+ grater -> equipment
623
+ grave -> structure
624
+ green_beans -> food
625
+ green_onion -> food
626
+ greenhouse -> structure
627
+ greeting_card -> equipment
628
+ greyhound -> animal
629
+ grill -> equipment
630
+ grilled_chicken -> food
631
+ groom -> celebration
632
+ guacamole -> food
633
+ guava -> food
634
+ guitar -> music
635
+ gull -> animal
636
+ guppy -> animal
637
+ gymnastics -> recreation
638
+ gyoza -> food
639
+ habanero -> food
640
+ hacksaw -> equipment
641
+ halibut -> food
642
+ ham -> food
643
+ hamburger -> food
644
+ hammer -> equipment
645
+ hammock -> structure
646
+ hamster -> animal
647
+ handcart -> equipment
648
+ handcuffs -> equipment
649
+ handwriting -> equipment
650
+ hangar -> structure
651
+ hangglider -> equipment
652
+ harbour -> structure
653
+ hardhat -> equipment
654
+ harp -> music
655
+ hat -> equipment
656
+ hat_other -> equipment
657
+ haze -> outdoor
658
+ headgear -> equipment
659
+ headgear_other -> equipment
660
+ headphones -> equipment
661
+ headscarf -> equipment
662
+ health_club -> interior_room
663
+ hedgehog -> animal
664
+ helicopter -> equipment
665
+ helmet -> equipment
666
+ henna -> art
667
+ herb -> food
668
+ herb_other -> food
669
+ heron -> animal
670
+ herring -> food
671
+ high_chair -> structure
672
+ high_heel -> equipment
673
+ hijab -> equipment
674
+ hiking -> recreation
675
+ hill -> outdoor
676
+ hippopotamus -> animal
677
+ hockey -> recreation
678
+ holiday -> celebration
679
+ holly -> food
680
+ holster -> equipment
681
+ honey -> food
682
+ honeydew -> food
683
+ hoodie -> equipment
684
+ hook -> equipment
685
+ hookah -> equipment
686
+ horse -> animal
687
+ horseradish -> food
688
+ horseshoe -> art
689
+ hose -> equipment
690
+ hospital -> interior_room
691
+ hotdog -> food
692
+ hotel -> structure
693
+ hound -> animal
694
+ hound_other -> animal
695
+ hourglass -> equipment
696
+ house_single -> structure
697
+ houseboat -> equipment
698
+ housewares -> equipment
699
+ housewares_other -> equipment
700
+ hula -> recreation
701
+ hummingbird -> animal
702
+ hummus -> food
703
+ hunting -> recreation
704
+ hurdle -> structure
705
+ husky -> animal
706
+ hydrant -> structure
707
+ hyena -> animal
708
+ ice -> liquid
709
+ ice_cream -> food
710
+ ice_skates -> recreation
711
+ ice_skating -> recreation
712
+ iceberg -> liquid
713
+ igloo -> structure
714
+ iguana -> animal
715
+ illustrations -> art
716
+ indian_wedding -> celebration
717
+ insect -> animal
718
+ insect_other -> animal
719
+ interior_room_other -> interior_room
720
+ interior_shop -> interior_room
721
+ irish_wolfhound -> animal
722
+ iron_clothing -> equipment
723
+ island -> outdoor
724
+ ivy -> plant
725
+ jack_o_lantern -> celebration
726
+ jack_russell_terrier -> animal
727
+ jacket -> equipment
728
+ jacuzzi -> liquid
729
+ jalapeno -> food
730
+ japanese_wedding -> celebration
731
+ jar -> equipment
732
+ jeans -> equipment
733
+ jeep -> equipment
734
+ jello -> food
735
+ jelly -> food
736
+ jellybean -> food
737
+ jellyfish -> animal
738
+ jerrycan -> equipment
739
+ jetski -> recreation
740
+ jewelry -> art
741
+ jigsaw -> recreation
742
+ jockey_horse -> recreation
743
+ joystick -> equipment
744
+ jug -> equipment
745
+ juggling -> recreation
746
+ juice -> liquid
747
+ juicer -> equipment
748
+ jungle -> plant
749
+ kale -> food
750
+ kandura -> equipment
751
+ kangaroo -> animal
752
+ karaoke -> recreation
753
+ kayak -> equipment
754
+ kebab -> food
755
+ keg -> equipment
756
+ ketchup -> food
757
+ kettle -> equipment
758
+ keypad -> equipment
759
+ keys -> equipment
760
+ kickboxing -> recreation
761
+ kilt -> equipment
762
+ kimchi -> food
763
+ kimono -> equipment
764
+ kitchen -> interior_room
765
+ kitchen_countertop -> interior_room
766
+ kitchen_faucet -> interior_room
767
+ kitchen_oven -> equipment
768
+ kitchen_room -> interior_room
769
+ kitchen_sink -> interior_room
770
+ kite -> equipment
771
+ kiteboarding -> recreation
772
+ kitten -> animal
773
+ kiwi -> food
774
+ knife -> equipment
775
+ koala -> animal
776
+ kohlrabi -> food
777
+ koi -> animal
778
+ lab_coat -> equipment
779
+ laboratory -> interior_room
780
+ ladder -> structure
781
+ ladle -> equipment
782
+ ladybug -> animal
783
+ lake -> liquid
784
+ lamp -> light
785
+ lamppost -> light
786
+ land -> outdoor
787
+ land_other -> outdoor
788
+ lantern -> light
789
+ laptop -> equipment
790
+ lasso -> equipment
791
+ lathe -> equipment
792
+ laundry_machine -> equipment
793
+ lava -> fire
794
+ leash -> equipment
795
+ leek -> food
796
+ lemon -> food
797
+ lemonade -> liquid
798
+ lemongrass -> food
799
+ lemur -> animal
800
+ leopard -> animal
801
+ leotard -> equipment
802
+ lettuce -> food
803
+ library -> interior_room
804
+ license_plate -> equipment
805
+ lifejacket -> recreation
806
+ lifesaver -> equipment
807
+ light_bulb -> light
808
+ light_other -> light
809
+ lighter -> equipment
810
+ lighthouse -> structure
811
+ lightning -> outdoor
812
+ lily -> plant
813
+ lime -> food
814
+ limousine -> equipment
815
+ lion -> animal
816
+ lionfish -> animal
817
+ liquid_other -> liquid
818
+ liquor -> liquid
819
+ liquor_other -> liquid
820
+ living_room -> interior_room
821
+ lizard -> animal
822
+ lizard_other -> animal
823
+ llama -> animal
824
+