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57,870
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{ "annotation_id": [ 787980, 789366, 789888, 791316, 794853 ], "image_id": [ 57870, 57870, 57870, 57870, 57870 ], "caption": [ "A restaurant has modern wooden tables and chairs.", "A long restaurant table with rattan rounded back chairs.", "a long table with a plant on top of it surrounded with wooden chairs ", "A long table with a flower arrangement in the middle for meetings", "A table is adorned with wooden chairs with blue accents." ] }
384,029
COCO_train2014_000000384029.jpg
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{ "annotation_id": [ 118034, 157682, 159179, 175826, 185540 ], "image_id": [ 384029, 384029, 384029, 384029, 384029 ], "caption": [ "A man preparing desserts in a kitchen covered in frosting.", "A chef is preparing and decorating many small pastries.", "A baker prepares various types of baked goods.", "a close up of a person grabbing a pastry in a container", "Close up of a hand touching various pastries." ] }
222,016
COCO_train2014_000000222016.jpg
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{ "annotation_id": [ 813979, 814735, 816446, 816950, 817379 ], "image_id": [ 222016, 222016, 222016, 222016, 222016 ], "caption": [ "a big red telephone booth that a man is standing in", "a person standing inside of a phone booth ", "this is an image of a man in a phone booth.", "A man is standing in a red phone booth.", "A man using a phone in a phone booth." ] }
520,950
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{ "annotation_id": [ 636271, 638152, 638287, 638446, 643555 ], "image_id": [ 520950, 520950, 520950, 520950, 520950 ], "caption": [ "the kitchen is full of spices on the rack", "A kitchen with counter, oven and other accessories.", "A small kitchen that utilizes all of its space. ", "This small kitchen has pots, pans and spices on display", "A VERY SMALL KITCHEN WITH A STOVE AND A SHELF OF POTS " ] }
69,675
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{ "annotation_id": [ 72465, 74946, 76104, 81696, 84192 ], "image_id": [ 69675, 69675, 69675, 69675, 69675 ], "caption": [ "A child and woman are cooking in the kitchen.", "A woman glances at a young girl's cooking on the stovetop", "A young girl and a woman preparing food in a kitchen.", "a young person and an older person in a kitchen", "Two women cooking on stove in a kitchen together." ] }
547,471
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{ "annotation_id": [ 256750, 260128, 262429, 263365, 265939 ], "image_id": [ 547471, 547471, 547471, 547471, 547471 ], "caption": [ "A black and white image of a man in a suit wearing glasses walking through a door.", "A nicely dressed man in a door way.", "A man in glasses walks through an open door. ", " A man smiling and walking through a doorway.", "A black and white photo of a man in suit and tie." ] }
122,688
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{ "annotation_id": [ 390926, 392777, 394802, 397142, 398966 ], "image_id": [ 122688, 122688, 122688, 122688, 122688 ], "caption": [ "The huge clock on the wall is near a wooden table.", "The clock has a large face with numbers.", "a clock with big numbers at the end of a table", "A table and chairs with a large clock on the wall.", "a large clock on the wall above a radiator " ] }
392,136
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{ "annotation_id": [ 562912, 565456, 566152, 566413, 566641 ], "image_id": [ 392136, 392136, 392136, 392136, 392136 ], "caption": [ "A large bus and some people on the street.", "Several people are standing on the sidewalk as a bus goes by.", "Bus rushing by a group of people walking in a city.", "A double-decker bus moving down the street as people stand waiting.", "A group of people standing next to a yellow and blue double decker bus." ] }
398,494
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{ "annotation_id": [ 276123, 278571, 279294, 279687, 282204 ], "image_id": [ 398494, 398494, 398494, 398494, 398494 ], "caption": [ "A bicycle parked in a kitchen with a stove and cabinets.", "A black bicycle leaning against the kitchen cabinets.", "small white kitchen with a bike and backpack parked in it", "A bicycle leaning on the stove and cabinets located inside the kitchen.", "A bicycle parked in a kitchen by the stove." ] }
90,570
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{ "annotation_id": [ 329613, 331068, 334752, 337434, 340272 ], "image_id": [ 90570, 90570, 90570, 90570, 90570 ], "caption": [ "Two people in a food truck, one looking at an order.", "A man in a beanie and glasses leans over a counter.", "A man in a food cart looking down at a piece of paper.", "a man with a beard and a blue shirt is making some food", "A person working behind the counter of a food truck." ] }
504,616
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{ "annotation_id": [ 669465, 670608, 673656, 675480, 682557 ], "image_id": [ 504616, 504616, 504616, 504616, 504616 ], "caption": [ "a person in white is standing in a kitchen", "A chef slides a pizza into a brick oven.", "a man wearing an apron and standing next to an oven", "A man with a ball cap and an apron using a brick oven. ", "The baker is getting ready for his bread to be ready." ] }
161,919
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{ "annotation_id": [ 299640, 301131, 301443, 303018, 306285 ], "image_id": [ 161919, 161919, 161919, 161919, 161919 ], "caption": [ "A person is cutting a roast with a fork and knife.", "There is a man cutting meat on a cutting board", "A man is slicing meat with a knife. ", "Man cutting a hot piece of meat on a cutting board. ", "A man cutting meat on a small cutting board." ] }
457,732
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{ "annotation_id": [ 802054, 806461, 807025, 808117, 808240 ], "image_id": [ 457732, 457732, 457732, 457732, 457732 ], "caption": [ "a kitchen with a table and some chairs ", "A dark kitchen with several tables and chairs.", "The room has table, chairs, counters and shelves.", "a room filled with wooden table and chairs", "a big kitchen filled with some tables and shelves " ] }
44,404
COCO_train2014_000000044404.jpg
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{ "annotation_id": [ 663785, 665342, 667577, 668372, 669281 ], "image_id": [ 44404, 44404, 44404, 44404, 44404 ], "caption": [ "A kitchen has wood cabinets, a dishwasher, sink, and refrigerator. ", "The window above the kitchen sink is opened.", "A kitchen with wood shelves and appliances. ", "a kitchen that has a stove and a icebox", "A fridge, microwave and sink in the kitchen" ] }
4,428
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{ "annotation_id": [ 387511, 389308, 390706, 391171, 393154 ], "image_id": [ 4428, 4428, 4428, 4428, 4428 ], "caption": [ "A chef preparing food inside of a kitchen near a window.", "A cook is making food under a lamp.", "A chief in a kitchen plating food out of a pan.", "Sous chef adding sauce to a plate at the pass of a restaurant kitchen. ", "a person in a kitchen preparing food under a lamp" ] }
170,558
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{ "annotation_id": [ 447789, 449424, 454098, 454632, 826903 ], "image_id": [ 170558, 170558, 170558, 170558, 170558 ], "caption": [ "Adults using laptop computers while sitting at outdoor venue.", "A row of men using laptops on side of a building.", "A man is on his laptop while people looking on. ", "a number of people siting on a bench with a laptop", "Young men sit next to each other working on laptops. " ] }
405,613
COCO_train2014_000000405613.jpg
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{ "annotation_id": [ 486903, 489318, 491646, 492993, 498972 ], "image_id": [ 405613, 405613, 405613, 405613, 405613 ], "caption": [ "A group of men at a table preparing food together", "some men standing around a counter while making a pizza ", "people preparing what they want to eat on a table", "A group of people standing at a table with wine making pizzas. ", "THERE ARE PEOPLE THAT ARE GETTING FOOD OFF OF THE TABLE " ] }
283,524
COCO_train2014_000000283524.jpg
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2013-11-14 18:46:34
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{ "annotation_id": [ 204659, 214298, 215924, 234602, 234917 ], "image_id": [ 283524, 283524, 283524, 283524, 283524 ], "caption": [ "a man cutting up vegetables on top of a food cart.", "A man cutting up scallions at an outdoor table ", "A man chopping vegetables on a white board.", "A man stands as he cuts up some vegetables.", "A man stands with a knife and onions in front of a garage." ] }
37,015
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{ "annotation_id": [ 758917, 760522, 766417, 767443, 770623 ], "image_id": [ 37015, 37015, 37015, 37015, 37015 ], "caption": [ "Chefs are preparing food at a restaurant as patrons exit.", "A chef is cooking at the counter in front of a restaurant.", "The view shows two young people and a woman leaving an elaborate entry way that includes a curved wall and window, revealing chefs at work,", "a restaurant that features a window to see the chefs cooking. ", "Several people walking outside of an Asian restaurant." ] }
71,631
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{ "annotation_id": [ 512711, 587054, 589694, 590288, 594356 ], "image_id": [ 71631, 71631, 71631, 71631, 71631 ], "caption": [ "Dining room table set for a casual meal, with flowers.", "A red table topped with four white place mats.", "there is a dining room table with a red cloth and a vase with roses", "a table with a red tablecloth and white placemats", "A small dinning table with all red napkins and a red table cloth . " ] }
491,269
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{ "annotation_id": [ 506145, 508014, 508044, 510672, 511116 ], "image_id": [ 491269, 491269, 491269, 491269, 491269 ], "caption": [ "A very cluttered but very clean kept kitchen.", "A small and cramped empty kitchen with overhead lighting ", "Looking into a small home kitchen with stove in a bar.", "a small kitchen with two microwaves a fridge and stove", "A full kitchen that is accented with the color red." ] }
365,363
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{ "annotation_id": [ 583866, 584832, 587583, 588054, 589062 ], "image_id": [ 365363, 365363, 365363, 365363, 365363 ], "caption": [ "Two people flying a kite above pine trees.", "A couple of people standing in a show covered field flying kites.", "Two people flying a kite in a field with a forest in the background.", "A man and a boy fly kites in the snow in front of pine trees.", "a couple of people that have kites in the sky" ] }
64,460
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{ "annotation_id": [ 208743, 219027, 219660, 222585, 225948 ], "image_id": [ 64460, 64460, 64460, 64460, 64460 ], "caption": [ "A kitchen in a restaurant with food on the counter.", "A restaurant kitchen with prepared food on the counter.", "two people in a kitchen area preparing food", "Two chefs preparing meals in the restaurant kitchen.", "a kitchen with chefs and plated dishes of food." ] }
581,674
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{ "annotation_id": [ 359826, 360090, 362850, 363378, 363492 ], "image_id": [ 581674, 581674, 581674, 581674, 581674 ], "caption": [ "Several kitchen workers making dishes in commercial kitchen.", "A couple of men in a small kitchen.", "a bunch of people cooking inside of a kitchen", "The chefs are preparing for the upcoming dinner service.", "A team of chefs working in a commercial kitchen." ] }
470,072
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{ "annotation_id": [ 668793, 670965, 673953, 676671, 679284 ], "image_id": [ 470072, 470072, 470072, 470072, 470072 ], "caption": [ "a grill that has a bunch of burgers on it", "Two men standing next to an oven with sandwiches", "A restaurant's grill top is full of meats and sandwiches.", "Food on a grill with people working ", "A view of a bunch of burgers being made on a grill." ] }
344,806
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{ "annotation_id": [ 695846, 700544, 703280, 704135, 705452 ], "image_id": [ 344806, 344806, 344806, 344806, 344806 ], "caption": [ "A man laying on his stomach with a towel on his head.", "someone that is laying face down on a bed", "A man on his stomach in a white bed.", "This is a photo of someones bare back.", "A man is lying face down on the bed" ] }
84,427
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{ "annotation_id": [ 598704, 599571, 599814, 608424, 612249 ], "image_id": [ 84427, 84427, 84427, 84427, 84427 ], "caption": [ "A small cluttered kitchen with a window and sink.", "A kitchen with a sink a dish rack on the wall and utensils hanging from a window. ", "A strange dark kitchen has an interesting curtain.", "A crowded kitchen with dishes hanging from the walls", "A kitchen with many utensils hanging from the window." ] }
317,237
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{ "annotation_id": [ 623845, 624064, 624241, 626290, 626485 ], "image_id": [ 317237, 317237, 317237, 317237, 317237 ], "caption": [ "A small child eating noodles from a bowl in a kitchen ", "An Asian baby feeding himself noodles from a bowl.", "a kid using a spoon eating from a plate", "A little boy that has a spoon with food on it.", "An asian child is eating noodles with a fork with help using his own hands in the kitchen." ] }
409,382
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{ "annotation_id": [ 763922, 765692, 765770, 771170, 773438 ], "image_id": [ 409382, 409382, 409382, 409382, 409382 ], "caption": [ "People on a skateboard ramp with one doing a trick and one with skateboard on his head.", "two boys sitting down one has his skate board on his head", "A couple of young men sitting in a skate park.", "Group of children entertaining. Selves in a skatepark", "A man performs skateboard tricks while two onlookers watch, one with a skateboard on his head" ] }
570,608
COCO_train2014_000000570608.jpg
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{ "annotation_id": [ 416696, 418715, 419576, 420467, 421226 ], "image_id": [ 77806, 77806, 77806, 77806, 77806 ], "caption": [ "Small dog in wire basket transported on motor scooter in city.", "A dog is inside of a covered cage on back of a motorcycle.", "a dog in a cage on a motocycle", "A dog sits in a cage on the back of a motorcycle.", "A dog is in a cage on the back of a motorcycle" ] }
546,451
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2013-11-15 13:12:23
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{ "annotation_id": [ 489187, 489523, 490381, 490675, 821404 ], "image_id": [ 546451, 546451, 546451, 546451, 546451 ], "caption": [ "A small restroom that is painted the color blue.", "The toilet bowl is next to two rolls of toilet paper mounted on a wall.", "A small bathroom is seen from above and at a slanted angle.", "A toilet in a bathroom with its seat down.", "A toilet area painted in a light green color." ] }
444,546
COCO_train2014_000000444546.jpg
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640
424
2013-11-15 13:16:46
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{ "annotation_id": [ 793587, 794679, 795342, 799314, 801588 ], "image_id": [ 444546, 444546, 444546, 444546, 444546 ], "caption": [ "a spoon and a fork that is on a table", "The spoon and fork are on the napkin near a glass. ", "A napkin with a cup, spoon, and knife arranged on it.", "a spoon and fork crossed over each other next to a clear glass ", "An empty table with a fork, spoon, and glass." ] }
147,016
COCO_train2014_000000147016.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000147016.jpg
425
640
2013-11-15 13:20:51
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{ "annotation_id": [ 564564, 564663, 566886, 567963, 570702 ], "image_id": [ 147016, 147016, 147016, 147016, 147016 ], "caption": [ "A toilet connected to a wire, next to a speaker.", "A white toilet sitting in the corner of a room next to a black object.", "A toilet with speaker wire running through it.", "A toilet and a speaker sitting on the floor.", "An toilet on a wooden floor next to a black speaker" ] }
497,616
COCO_train2014_000000497616.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000497616.jpg
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640
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{ "annotation_id": [ 731545, 736219, 736402, 739435, 741763 ], "image_id": [ 497616, 497616, 497616, 497616, 497616 ], "caption": [ "A black and white photo of a cat sitting on a chair.", "a black and white photo of a cat using an old photo camera ", "A cat comically taking an old fashioned picture of another cat.", "A cat sitting in a chair near another cat that is holding on to something with his paw", "a vintage photo of a cat taking a picture of another cat" ] }
520,208
COCO_train2014_000000520208.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000520208.jpg
480
640
2013-11-15 13:30:21
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{ "annotation_id": [ 490711, 492814, 495172, 498343, 501598 ], "image_id": [ 520208, 520208, 520208, 520208, 520208 ], "caption": [ "a spoon sitting on some food in a bowl ", "A bowl of food and a spoon held up that has eaten food.", "A white bowl filled with mixed vegetables and a spoon.", "There is a spoons resting in a bowl of food.", "a close up of a spoon in a bowl of food" ] }
199,628
COCO_train2014_000000199628.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000199628.jpg
640
424
2013-11-15 13:37:47
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{ "annotation_id": [ 155668, 157576, 157957, 158236, 159082 ], "image_id": [ 199628, 199628, 199628, 199628, 199628 ], "caption": [ "A public restroom has two sinks shaped like fancy vases. ", "Two tall ceramic sinks in a men's restroom. ", "Two old fashion looking pots are standing in a bathroom. ", "Two sinks are shown that are blue and white floral.", "Two sinks ,mirrors and urinals in a bathroom." ] }
280,980
COCO_train2014_000000280980.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000280980.jpg
333
500
2013-11-15 13:42:53
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{ "annotation_id": [ 189282, 190875, 193503, 205686, 206799 ], "image_id": [ 280980, 280980, 280980, 280980, 280980 ], "caption": [ "A man in a costume and wig is using a urinal.", "a person in a bathroom with a toilet and frames on the wall", "A man with a white wig and beard and a Christmas hat in a bathroom.", "A person in a Santa hat holds a cup away from the sink in a bathroom.", "A man dressed up like santa taking a leak." ] }
167,613
COCO_train2014_000000167613.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000167613.jpg
429
640
2013-11-15 13:46:15
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{ "annotation_id": [ 208099, 225016, 225496, 230881, 237124 ], "image_id": [ 167613, 167613, 167613, 167613, 167613 ], "caption": [ "A bathroom with a white toilet and sink and checkered tile.", "A bathroom with a toilet and a sink.", "A bathroom that is done in checkered walls and flooring.", "Public restroom with black and white checker pattern walls.", "A toilet and sink in a bathroom with checked walls." ] }
142,088
COCO_train2014_000000142088.jpg
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480
640
2013-11-15 13:46:22
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{ "annotation_id": [ 439857, 442248, 442683, 446796, 447636 ], "image_id": [ 142088, 142088, 142088, 142088, 142088 ], "caption": [ "Black motorcycle sitting underneath an overhang outdoors. ", "a motorcycle sitting under an awning next to a bunch of stuff ", "A bunch of stuff that is being stored in a small open building. ", "A motorcycle parked under a wooden structure with other items.", "Motorcycle parked under covered area in fenced yard." ] }
301,778
COCO_train2014_000000301778.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000301778.jpg
640
427
2013-11-15 13:52:05
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{ "annotation_id": [ 100234, 105988, 109927, 113740, 114688 ], "image_id": [ 301778, 301778, 301778, 301778, 301778 ], "caption": [ "Dirty bathroom floor with a toilet and a toilet brush next to it.", "A gas station toilet has not been cleaned in months", "A white toilet with black water around it.", "A toilet and a toilet cleaning brush on a dirty floor.", "A toilet that is in a dirty bathroom." ] }
454,325
COCO_train2014_000000454325.jpg
http://images.cocodataset.org/train2014/COCO_train2014_000000454325.jpg
640
480
2013-11-15 13:52:23
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{ "annotation_id": [ 161938, 163342, 170296, 171586, 174892 ], "image_id": [ 454325, 454325, 454325, 454325, 454325 ], "caption": [ "A modern restroom is equipped with fashionable sinks and urinals surrounded by architectural subway tile.", "a bathroom with urinals sinks and towel dispensers", "Sinks and urinals with unconventional placement in a public restroom.", "A couple of urinals mounted to a wall in a restroom.", "A bathroom with two urinals directly below the sinks." ] }
End of preview.

Dataset Card for MSCOCO

CI

Dataset Summary

COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features:

  • Object segmentation
  • Recognition in context
  • Superpixel stuff segmentation
  • 330K images (>200K labeled)
  • 1.5 million object instances
  • 80 object categories
  • 91 stuff categories
  • 5 captions per image
  • 250,000 people with keypoints

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

2014

  • captioning dataset
import datasets as ds

dataset = ds.load_dataset(
    "shunk031/MSCOCO",
    year=2014,
    coco_task="captions",
)
  • instances dataset
import datasets as ds

dataset = ds.load_dataset(
    "shunk031/MSCOCO",
    year=2014,
    coco_task="instances",
    decode_rle=True, # True if Run-length Encoding (RLE) is to be decoded and converted to binary mask.
)
  • person keypoints dataset
import datasets as ds

dataset = ds.load_dataset(
    "shunk031/MSCOCO",
    year=2014,
    coco_task="person_keypoints",
    decode_rle=True, # True if Run-length Encoding (RLE) is to be decoded and converted to binary mask.
)

2017

  • captioning dataset
import datasets as ds

dataset = ds.load_dataset(
    "shunk031/MSCOCO",
    year=2017,
    coco_task="captions",
)
  • instances dataset
import datasets as ds

dataset = ds.load_dataset(
    "shunk031/MSCOCO",
    year=2017,
    coco_task="instances",
    decode_rle=True, # True if Run-length Encoding (RLE) is to be decoded and converted to binary mask.
)
  • person keypoints dataset
import datasets as ds

dataset = ds.load_dataset(
    "shunk031/MSCOCO",
    year=2017,
    coco_task="person_keypoints",
    decode_rle=True, # True if Run-length Encoding (RLE) is to be decoded and converted to binary mask.
)

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

The annotations in this dataset along with this website belong to the COCO Consortium and are licensed under a Creative Commons Attribution 4.0 License.

Images

The COCO Consortium does not own the copyright of the images. Use of the images must abide by the Flickr Terms of Use. The users of the images accept full responsibility for the use of the dataset, including but not limited to the use of any copies of copyrighted images that they may create from the dataset.

Software

Copyright (c) 2015, COCO Consortium. All rights reserved. Redistribution and use software in source and binary form, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the name of the COCO Consortium nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE AND ANNOTATIONS ARE PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Citation Information

@inproceedings{lin2014microsoft,
  title={Microsoft coco: Common objects in context},
  author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
  booktitle={Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13},
  pages={740--755},
  year={2014},
  organization={Springer}
}

Contributions

Thanks to COCO Consortium for creating this dataset.

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