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[ 96369, 102171, 105771, 122235, 142974 ]
[ "A bathroom with a sink and toilet and a window.", "A white bathroom with white fixtures and tile floor", "A small white toilet sitting next to a sink.", "Small bathroom with a toilet, shower, and small mirror. ", "A bathroom contains a toilet and a sink." ]
5
train2017/000000340559.jpg
http://images.cocodataset.org/train2017/000000340559.jpg
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428
2013-11-15 02:06:07
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[ 444042, 444921, 445608, 445668, 445764 ]
[ "There are two sinks next to two mirrors.", "Two very metallic sinks are shown as well as the mirrors above them.", "A room with stainless steel equipment including sinks and mirrors.", "Two stainless steel sinks with mirrors and a fire extinguisher. ", "A photo of a bathroom made of steel." ]
1
train2017/000000258985.jpg
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2013-11-15 02:07:38
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[ 64523, 66086, 67289, 68369, 69035 ]
[ "A large porcelain toilet posed with a tan flower pot. ", "A toilet is sitting on the ground next to a plant.", "A toliet sitting on a curb in front of a house.", "A white toilet sits on the front lawn.", "A white toilet sitting on a sidewalk outside." ]
1
train2017/000000509822.jpg
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2013-11-15 02:53:28
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[ 811498, 812692, 813244, 813700, 815607 ]
[ "a gray bicycle is locked to some metal doors", "A bike that is padlocked to a wall.", "The bicycle is locked on the green, metal wall. ", "A bike chained to the doors of a building ", "A bike is locked and hanging from a door." ]
6
train2017/000000321107.jpg
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2013-11-15 03:14:32
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[ 575517, 577665, 578262, 579024, 584085 ]
[ "A woman rides a bicycle on a road next to the median.", "A girl is riding her bike down the street.", "A lady riding her bicycle on the side of a street.", "A person on a bike riding on a street.", "A woman riding a bike down a street next to a divider." ]
4
train2017/000000229643.jpg
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2013-11-15 03:16:39
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[ 661851, 663729, 666351, 669015, 669537 ]
[ "A man takes a picture in the bathroom mirror\n", "a person taking a photo in a mirror ", "A man taking a picture of a bathroom.", "A bathroom sink sitting under a bathroom mirror.", "A man takes a picture of his reflection in a mirror. " ]
6
train2017/000000125059.jpg
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2013-11-15 03:48:13
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[ 274981, 279370, 280678, 280906, 282694 ]
[ "A bathroom with a white toilet sitting next to a bathroom sink.", "A bathroom vanity and toilet in a public restroom.", "A view of a bathroom shows a toilet, sink and mirror.", "A modern looking bathroom has a toilet and a sink. ", "This bathroom has brown counter tops and a white toilet" ]
3
train2017/000000455483.jpg
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480
640
2013-11-15 04:13:16
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[ 794935, 797032, 797344, 799153, 799771 ]
[ "A bathroom with two sinks and a shower.", "a big bathroom that has some sinks in it", "Bathroom vanity with double sinks and large mirrors.", "A bathroom with sinks mirrors and tile flooring.", "A bathroom that has two sinks next to each other." ]
1
train2017/000000436141.jpg
http://images.cocodataset.org/train2017/000000436141.jpg
480
640
2013-11-15 04:26:05
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[ 312896, 313097, 314087, 314663, 314885 ]
[ "The bathroom is clean and ready to be used. ", "a small bathroom with a sink and a toilet.", "A toilet, sink and mirror in the bathroom", "Doorway view into bathroom with a sink and toilet.", "A white toilet sitting next to a sink." ]
6
train2017/000000129001.jpg
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640
480
2013-11-15 05:12:40
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[ 567359, 572138, 577610, 582275, 582593 ]
[ "A bath tub sitting next to a sink in a bathroom.", "The bathroom is clean and ready for us to use.", "a bath tub sitting next to a sink ", "A bathroom that has a shower curtain over a bathtub.", "A bathroom with multicolored tile, bathtub and pedestal sink." ]
5
train2017/000000232262.jpg
http://images.cocodataset.org/train2017/000000232262.jpg
427
640
2013-11-15 05:23:22
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232,262
[ 230268, 241671, 241971, 243042, 244671 ]
[ "an image of a cars driving on the highway", "A section of traffic coming to a stop at an intersection.", "A bunch of cars sit at the intersection of a street.", "This is a picture of traffic on a very busy street.", "A busy intersection filled with cars in asia" ]
3
train2017/000000061181.jpg
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321
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2013-11-15 05:26:41
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[ 657068, 657182, 658016, 660350, 663476 ]
[ "This shot is of a crowded highway full of traffic", "there are many taxi cabs on the road", "A city street with lots of traffic and lined with buildings.", "Heavy city traffic all going in one direction", "Many cars stuck in traffic on a high way" ]
1
train2017/000000166323.jpg
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2013-11-15 05:28:03
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[ 344993, 347717, 347978, 350363, 350855 ]
[ "Mirror view of a bathroom with a sink and tub.", "mirror reflection of sink and the tub next to it.", "A bathroom mirror has the reflection of the sink and bathtub.", "The bathroom is very small with white fixtures. ", "A sink is shown in a small bathroom" ]
2
train2017/000000580041.jpg
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2013-11-15 05:28:40
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[ 549796, 557587, 558019, 561193, 562528 ]
[ "A city street filled with traffic and parking lights.", "A full view of a late evening with many cars parked on the street.", "A very dark street with cars and many wires above.", "A car's break lights glow as it waits at a red-light at an intersection.", "A street scene with cars, street signs, and many high wires." ]
5
train2017/000000326781.jpg
http://images.cocodataset.org/train2017/000000326781.jpg
640
480
2013-11-15 05:49:18
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[ 531382, 532291, 532312, 532330, 532837, 537637 ]
[ "A white toilet and a sink in a room.", "White bathroom area with a blue and white shower curtain. ", "Small bathroom area with a blue and white shower curtain hanging. ", "A bath tub shower sitting next to a toilet.", "A toilet with a sink and the door opened", "a small white bathroom with a curtain for the shower" ]
3
train2017/000000387362.jpg
http://images.cocodataset.org/train2017/000000387362.jpg
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2013-11-15 06:14:12
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[ 729753, 736818, 738228, 739785, 740898 ]
[ "A bathroom sink shapped like a glass bowl.", "A man that is standing with a mug in front of a mirror.", "a man taking a picture of himself in a bathroom mirror", "A man standing in a bathroom taking a picture of his self in the mirror with his cell phone", "a man taking a selfie in a little bathroom mirror " ]
1
train2017/000000138079.jpg
http://images.cocodataset.org/train2017/000000138079.jpg
640
480
2013-11-15 06:15:34
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138,079
[ 157734, 157764, 158979, 159564, 160437 ]
[ "A door opens to a bare, white bathroom. ", "A varying palette of neutrals in a bathroom awaits the softening of the cabinetry.", "A bathroom with a tile floor, bathtub and shower and no shower curtain.", "A bathroom is shown with a shower and a toilet.", "A beige and white three piece bathroom with no shower curtain." ]
4
train2017/000000556616.jpg
http://images.cocodataset.org/train2017/000000556616.jpg
427
640
2013-11-15 06:17:51
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[ 265914, 273225, 280074, 280581, 285060 ]
[ "A row of parked cars sitting next to parking meters.", "A row of cars parked on a street with parking meters.", "A series of parking meters and cars are located next to each other. ", "A parking meter on a street by a car with traffic.", "A parking meter on a street with cars" ]
4
train2017/000000472621.jpg
http://images.cocodataset.org/train2017/000000472621.jpg
298
640
2013-11-15 06:19:20
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[ 152104, 158203, 160510, 161590, 162961 ]
[ "An elegant bathroom features a tub, sink, mirror, and decorations. ", "An old fashion above ground tub is shown with gold feet.", "A lovely, vintage-styled bathroom with a great claw-footed tub. ", "Bathroom with a pedestal sink and claw foot bathtub", "A claw foot tub is in a large bathroom near a pedestal sink." ]
4
train2017/000000192440.jpg
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2013-11-15 06:24:48
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[ 757254, 759448, 761086, 763339, 767659 ]
[ "A clean bathroom is seen in this image.", "A bathroom with a white toilet and large shelf full of stuff.", "some shelves filled with a bunch of different items in the bathroom\n", "A shelving unit is between a toilet and a bathroom sink. ", "A shelf with hygiene products in a bathroom.\n" ]
4
train2017/000000086320.jpg
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336
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2013-11-15 06:37:06
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[ 147145, 161989, 166210, 172408, 174169 ]
[ "A bathroom sink sitting under a large mirror.", "A bathroom with a vanity cabinet on the wrong wall", "A small beige bathroom with an additional medicine cabinet.", "A bathroom sink with a mirror and medicine cabinet.", "THERE IS A BATHROOM WITH A SINK AND A MIRROR" ]
4
train2017/000000256668.jpg
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500
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2013-11-15 06:42:44
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256,668
[ 709927, 712456, 712612, 713902, 717607 ]
[ "A white urinal mounted to a bathroom wall.", "A pair of kitchen tongs on top of a urinal.", "Bathroom urinal with kitchen tongs on top behind plumbing.", "A urinal in a bathroom with tongs on top of it.", "a metal thing is sitting on top of a urinal" ]
1
train2017/000000383445.jpg
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480
640
2013-11-15 06:58:19
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383,445
[ 567376, 571309, 573625, 574363, 575263 ]
[ "A glazed donut hanging from a metal rod.", "A tasty looking treat hanging on a car antenna.", "A donut on the antenna of a car.", "A donut put around an antenna on a car ", "There is a donut sitting on the car." ]
6
train2017/000000565797.jpg
http://images.cocodataset.org/train2017/000000565797.jpg
454
640
2013-11-15 07:16:08
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565,797
[ 459994, 460852, 462184, 465646, 465739 ]
[ "An orange striped tabby cat laying on top of a red vehicle's wheel.", "a cat with a big fluffy tail sitting on top of a car tire ", "A cat sitting on a wheel of a vehicle.", "A cat hiding in a fender well of a car. ", "An orange cat hiding on the wheel of a red car." ]
2
train2017/000000081922.jpg
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426
640
2013-11-15 10:13:11
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81,922
[ 86779, 90172, 91615, 92689, 823814 ]
[ "A large jetliner flying over a traffic filled street.", "An airplane flies low in the sky over a city street. ", "An airplane flies over a street with many cars.", "An airplane comes in to land over a road full of cars", "The plane is flying over top of the cars" ]
6
train2017/000000050125.jpg
http://images.cocodataset.org/train2017/000000050125.jpg
413
640
2013-11-15 10:46:53
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50,125
[ 438586, 438697, 440188, 440710, 441394 ]
[ "A silver and red bus in parking lot next to cars.", "A silver bus that is parked in a lot.", "An older picture of a bus and other vehicles in a parking lot. ", "An old bus parks in a parking lot with other cars and bus.", "An older silver metro bus in a parking lot." ]
4
train2017/000000364521.jpg
http://images.cocodataset.org/train2017/000000364521.jpg
426
640
2013-11-15 11:45:21
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364,521
[ 342214, 346981, 348016, 349429, 351361 ]
[ "A red helmet is on a yellow toilet in the dirt.", "A yellow toilet with a red helmet on top of it.", "A yellow toilet with a red helmet above it.", "A toilet sitting in an outdoor area with a helmet resting on top of it.", "An old toilet sits in dirt with a helmet on top." ]
3
train2017/000000394892.jpg
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427
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2013-11-15 11:54:07
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394,892
[ 731920, 732997, 733519, 733789, 736027 ]
[ "a little kid riding a skateboard at a park", "A child playing on a skateboard in a park.", "A girl stepping onto a skateboard in the playground", "A young lady riding a skateboard across a street.", "The kid is skateboarding on the street while wearing a jacket." ]
3
train2017/000000001146.jpg
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640
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2013-11-15 11:55:43
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1,146
[ 140098, 144247, 146329, 147925, 150397 ]
[ "A young man wearing black attire and a flowered tie is standing and smiling.", "A man with glasses and his eyes closed dressed in a black shirt and a necktie.", "A man in a green tie with his eyes closed.", "Smiling man wearing black shirt and pale green tie.", "A person that is dressed up very nicely." ]
3
train2017/000000310391.jpg
http://images.cocodataset.org/train2017/000000310391.jpg
360
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2013-11-15 12:07:31
http://farm9.staticflickr.com/8014/7689410230_e64b99e184_z.jpg
310,391
[ 750758, 751912, 755418, 757137, 760789 ]
[ "A car with some surfboards in a field.", "The old fashioned car is carrying some retro surfboards.", "An old car with surfboards on the top.", "An old vehicle painted light blue and dark blue.", "An old station wagon with a surfboard on top of it." ]
4
train2017/000000097434.jpg
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266
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2013-11-15 12:18:56
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97,434
[ 462147, 462399, 462567, 465786, 818394 ]
[ "A person on a street next to a motor bike.", "A cop standing next to a police bike next to a man sitting on a curb.", "A man sits on the sidewalk next to a police motorcycle with a police officer in the background.", "A man that is sitting down next to a cops motorcycle.", "A man is sitting on the sidewalk while a police officer is doing something behind him." ]
1
train2017/000000463836.jpg
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480
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2013-11-15 12:18:57
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463,836
[ 495449, 496460, 498425, 499355, 503579 ]
[ "A man looking down with a backpack on in a house.", "THERE IS A MAN WITH BOOK BAG ON HIS BAG ", "a person standing in a stone walled and floored room wearing a backpack ", "A guy standing in a very dark room with a small window.", "A man in a stone room possibly using the bathroom" ]
1
train2017/000000241876.jpg
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2013-11-15 12:50:05
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241,876
[ 24116, 25505, 25766, 28883, 33452 ]
[ "A cat on the lid of a toilet looking perturbed.", "A blurry picture of a cat standing on a toilet.", "A cat standing on the toilet bowl seat", "A cat is perched on the top of a toilet seat in the bathroom.", "A cat standing on a toilet with an open lid." ]
4
train2017/000000156832.jpg
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640
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2013-11-15 12:57:27
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156,832
[ 266909, 269516, 271205, 273728, 274838 ]
[ "A toilet sitting in a bathroom next to a mirror.", "A small bathroom with the toilet seat up.", "The toilet seat was left in the up position.", "A door open revealing a small bathroom with sink and toilet.", "A toilet and a sink in a small bathroom." ]
6
train2017/000000270721.jpg
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480
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2013-11-15 13:30:24
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270,721
[ 764923, 765796, 766957, 767803, 773704 ]
[ "Bathroom with white fixtures, tiles and corner shower.", "A white toilet sitting in a bathroom next to a shower.", "Bathroom shot of non transparent shower glass and toilet.", "An all white bathroom with a shower, toilet and sink.", "A plain white bathroom with a sink, shower, and toilet." ]
4
train2017/000000462341.jpg
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640
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2013-11-15 13:31:08
http://farm3.staticflickr.com/2696/4472391245_b1bb40bfe1_z.jpg
462,341
[ 329816, 334940, 336236, 338861, 340661 ]
[ "An older building with birds flying near it.", "A church with a high spire and decorative roof tiles.", "A large clock tower towering over a small city.", "Picture of a church and its tall steeple.", "Birds fly around a tall building with a clock." ]
1
train2017/000000310103.jpg
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480
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2013-11-15 13:38:21
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310,103
[ 327257, 330998, 331988, 337775, 342704 ]
[ "a motorcycle in a driveway with a vanity license plate ", "Two luxurious motor bikes on the road near a hedge.", "a close up of a motorcycle license plate", "A motor bike parked on the side of the road.", "The back of a motorcycle showing the wheel, license plate and lights. " ]
4
train2017/000000032992.jpg
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427
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2013-11-15 13:40:43
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32,992
[ 363022, 364411, 365356, 366208, 368110 ]
[ "A picture of a wooden container with crosses on it.", "a close up of wood decorated with crosses", "close up of a wooden base with crosses designed on the neck", "A close up shut off some sort of religious object. ", "A shiny wooden object is decorated with crosses." ]
3
train2017/000000122851.jpg
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427
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2013-11-15 13:50:42
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122,851
[ 324626, 324929, 325943, 326018, 327449 ]
[ "There is a man picking bananas next to a street.", "A man standing over several bunches of green bananas.", "A man attending to several bundles of banana's as a motorcycle rides by.", "A guy grabbing a stack of bananas from a pile on the side of the road.", "A man standing over some bundles of bananas" ]
1
train2017/000000540763.jpg
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640
425
2013-11-15 13:55:16
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540,763
[ 153088, 153292, 155905, 158632, 164317 ]
[ "A restroom has a toilet and a decorative sun wall plaque.", "A picture of a very nice and white toilet.", "A bathroom with a white toilet in the middle of the wall and a sun wall decor above it.", "A bath room with a sun decoration above the toilet", "A bathroom has a sun decal on the wall." ]
2
train2017/000000138246.jpg
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424
640
2013-11-15 14:02:56
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138,246
[ 149217, 152466, 154572, 156648, 158283 ]
[ "some horses grazing in front of a church", "Three horses on a green pasture with an old building in the background.", "A filed with brown horses standing next to a church.", "Three horses are grazing in a field in front of an old church.", "horses eating grass in a field with trees in the background" ]
3
train2017/000000197254.jpg
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2013-11-15 14:06:58
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197,254
[ 349864, 353446, 354145, 354700, 355693 ]
[ "A horse drawn carriage is parked along the curb.", "A horse drawn carriage is in front of an old large building.", "A pair of horses carrying a carriage that is parked by a street.", "A horse drawn carriage parked on the street.", "People walking pass a horse drawn carriage sitting at the curb" ]
1
train2017/000000032907.jpg
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480
640
2013-11-15 14:08:35
http://farm4.staticflickr.com/3608/3499798248_1381426e82_z.jpg
32,907
[ 504342, 505461, 506400, 510774, 510855 ]
[ "a toilet on the ground outdoors in front of a house", "A toilet sitting in the middle of the road beside a home. ", "A toilet on the pavement in front of a house, the tank lid lying discarded.", "An old looking toilet sitting out on the side walk.", "A toilet sitting in front of someones house. " ]
6
train2017/000000251252.jpg
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500
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2013-11-15 14:12:33
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251,252
[ 420932, 422489, 423539, 424295, 424592 ]
[ "The shiny motorcycle is being shown on a display.", "A motor bike parked inside of a building.", "A parked motorcycle sitting next to a crowd.", "White motorcycle on display inside a building with people looking on. ", "A motorcycle sits displayed in a large shopping area." ]
1
train2017/000000037675.jpg
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415
640
2013-11-15 14:13:03
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37,675
[ 757471, 759959, 761489, 762446, 764099 ]
[ "Horses graze in front of a large building amid snow.", "Several horses eating grass around melting a snow spot", "some horses eating grass by a big house", "Horses grazing in a field by a large home.", "A couple of horses grazing in front of an estate." ]
1
train2017/000000159537.jpg
http://images.cocodataset.org/train2017/000000159537.jpg
640
425
2013-11-15 14:20:08
http://farm5.staticflickr.com/4083/5047823673_1bebe388e7_z.jpg
159,537
[ 413582, 413939, 418745, 418799, 421130 ]
[ "A large clock tower with a wind indicator on top.", "A very tall clock tower towering over a city.", "A clock tower has a weather vane on top of it.", "Blue and orange stone clock tower with a small clock.", "A large clock tower in front of a clear sky" ]
3
train2017/000000268556.jpg
http://images.cocodataset.org/train2017/000000268556.jpg
640
640
2013-11-15 14:29:00
http://farm3.staticflickr.com/2876/9620553260_a812cd5ca1_z.jpg
268,556
[ 226907, 228905, 233312, 239120, 239915 ]
[ "A woman is riding a motorcycle down the street.", "A woman on a motorcycle wearing a bag and passing a car. ", "A woman on a motor cycle on a city street", "A woman on a motorcycle in the middle of the street.", "A woman sits on her motorcycle in the street." ]
6
train2017/000000271177.jpg
http://images.cocodataset.org/train2017/000000271177.jpg
500
375
2013-11-15 14:35:03
http://farm2.staticflickr.com/1337/1360004143_fcf8aaad45_z.jpg
271,177
[ 772796, 772988, 774524, 774602, 777038 ]
[ "A motorcycle sitting on the side of a street corner.", "Black motorcycle parked on the side of a busy street. ", "A motorcycle is sitting outside on the street near a tree.", "a black motorcycle is parked on a sidewalk", "An unattended motorcycle parked along a curb on roadway." ]
3
train2017/000000075051.jpg
http://images.cocodataset.org/train2017/000000075051.jpg
375
500
2013-11-15 14:58:13
http://farm4.staticflickr.com/3071/3024475423_cb79891b71_z.jpg
75,051
[ 48007, 50158, 56083, 56161, 829256 ]
[ "A small white toilet sitting next to a metal trash can.", "A compact toilet and shower of a small bathroom", "A close up shot of a white toilet and waste bin.", "A small white toilette with the lid closed has a metal trash can on one side and a shower stall on the other.", "a toilet bowl and a trash can in a bathroom" ]
3
train2017/000000549399.jpg
http://images.cocodataset.org/train2017/000000549399.jpg
424
640
2013-11-15 15:02:10
http://farm9.staticflickr.com/8424/7491622748_da89dbcf72_z.jpg
549,399
[ 553041, 559644, 560004, 560637, 562146 ]
[ "A purple motorcycle parked in front of a red brick building.", "A motorcycle that is parked in front of a brick building.", "A sport motorbike parked on a pavement close to a building", "A blur motorcycle against a red brick wall.", "A motor bike parked on the side of the street." ]
3
train2017/000000085160.jpg
http://images.cocodataset.org/train2017/000000085160.jpg
425
640
2013-11-15 15:14:52
http://farm6.staticflickr.com/5246/5321173112_675e10fb7f_z.jpg
85,160
[ 780519, 781068, 781158, 784767, 786009 ]
[ "A few people working on various computers in an office.", "A man works on a laptop placed on a table in a busy office.", "A man is working on a laptop computer at a desk.", "A man in blue works on a laptop computer.", "A man sitting in front of a laptop computer." ]
4
train2017/000000019358.jpg
http://images.cocodataset.org/train2017/000000019358.jpg
426
640
2013-11-15 15:40:32
http://farm4.staticflickr.com/3441/3991098638_b029e135a2_z.jpg
19,358
[ 63040, 63643, 68311, 68965, 69211 ]
[ "Two blue bowls of food next to a bottle of cinnamon and sugar.", "this is an image of cereal and milk", "A desert of bananas and cinnamon in two blue bowls.", "A blue bowl holding mashed bananas and oatmeal with a bottle of sugar and cinnamon sitting beside it.", "A bowl of oatmeal is ready to eat with some cinnamon and sugar." ]
4
train2017/000000459912.jpg
http://images.cocodataset.org/train2017/000000459912.jpg
427
640
2013-11-15 15:42:29
http://farm8.staticflickr.com/7391/9081512157_75d5cef187_z.jpg
459,912
[ 748, 4633, 8323, 10096, 15466 ]
[ "Rows of motor bikes and helmets in a city", "A lot of motorbikes line up down a busy street.", "Large set of motorcycles all lined up down a street.", "A large group of motorcycles lined up on the street.", "A series of motorbikes parked in a row on a street" ]
4
train2017/000000015827.jpg
http://images.cocodataset.org/train2017/000000015827.jpg
640
427
2013-11-15 15:42:35
http://farm6.staticflickr.com/5330/9081531225_47044e007e_z.jpg
15,827
[ 764502, 766152, 766362, 768780, 774270 ]
[ "Two rows of various makes of parked motorcycles.", "a bunch of motorcycles are parked tightly together", "Rows and columns of motorcycles in middle of street.", "A bunch of motorcycles that are grouped together.", "Motorcycles are lined up outside along the street. " ]
4
train2017/000000394240.jpg
http://images.cocodataset.org/train2017/000000394240.jpg
427
640
2013-11-15 15:42:40
http://farm6.staticflickr.com/5497/9083616900_0930242ca6_z.jpg
394,240
[ 613812, 614364, 614799, 616392, 616920 ]
[ "A row of motorcycles parked in front of a building.", "A bunch of motorcycles parked on the side of the road", "a back ally neighborhood with motor bikes in a row", "A number of motorbikes parked on an alley", "a bunch of motorcycles parked along the side of the street " ]
6
train2017/000000510755.jpg
http://images.cocodataset.org/train2017/000000510755.jpg
480
640
2013-11-15 16:28:39
http://farm6.staticflickr.com/5070/5680563777_16bd981fa7_z.jpg
510,755
[ 169570, 186229, 188971, 189220, 189325 ]
[ "A row of motorcycles parked next to each other on a lush green field.", "Several motorcycles parked beneath trees in a park.", "THERE ARE A LOT OF MOTOR BIKES ON THE GRASS", "a line of parked motorcycles on some grass and trees", "A bunch of motorcycles line up near trees." ]

COCO 2017 Dataset for Image Colorization

Overview

This dataset is derived from the COCO (Common Objects in Context) 2017 dataset, which is a large-scale object detection, segmentation, and captioning dataset. The COCO 2017 dataset has been adapted here specifically for the task of image colorization.

Format

DatasetDict({
    train: Dataset({
        features: ['license', 'file_name', 'coco_url', 'height', 'width', 'date_captured', 'flickr_url', 'image_id', 'ids', 'captions'],
        num_rows: 112268
    })
    validation: Dataset({
        features: ['license', 'file_name', 'coco_url', 'height', 'width', 'date_captured', 'flickr_url', 'image_id', 'ids', 'captions'],
        num_rows: 5000
    })
})

Usage

Download image data and unzip

cd PATH_TO_IMAGE_FOLDER

wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip

unzip train2017.zip
unzip val2017.zip

Branches

  • main: Provides the original captions sentences.
  • caption-free: Provides random prompts selected from the following list:
sentences = [
    "Add colors to this image",
    "Give realistic colors to this image",
    "Add realistic colors to this image",
    "Colorize this grayscale image",
    "Colorize this image",
    "Restore the original colors of this image",
    "Make this image colorful",
    "Colorize this image as if it was taken with a color camera",
    "Create the original colors of this image"
]
  • custom-caption: Provides captions generated by CLIP Interrogator with 'ViT-H-14/laion2b_s32b_b79k' model. Then filter with 'csv_filter.py' to remove unlikely words, such as black and white, monochrome, grainy, desaturated, etc. For more details about the prompts filtering criteria, refer to the Dataset-for-Image-Colorization repository. For example, bellow is one of the generated caption:
["there is a  photo of a bear sitting in the grass, half grizzly bear, portrait of anthropomorphic bear, head of a bear, grizzly, grizzled, brown bear, by Mirko Rački, bear, half bear, by Jacek Sempoliński, staring, angry bear"]

Loading the Dataset

You can load this dataset using the Hugging Face 'datasets' library:

from datasets import load_dataset

Main Branch

# Load the train split of the colorization dataset
train_dataset = load_dataset("nickpai/coco2017-colorization", split="train")
# Load the validation split of the colorization dataset
val_dataset = load_dataset("nickpai/coco2017-colorization", split="validation")

Caption-Free Branch

# Load the train split of the colorization dataset from the caption-free branch
train_dataset = load_dataset("nickpai/coco2017-colorization", split="train", revision="caption-free")
# Load the validation split of the colorization dataset from the caption-free branch
val_dataset = load_dataset("nickpai/coco2017-colorization", split="validation", revision="caption-free")

Custom-Caption Branch

# Load the train split of the colorization dataset from the custom-caption branch
train_dataset = load_dataset("nickpai/coco2017-colorization", split="train", revision="custom-caption")
# Load the validation split of the colorization dataset from the custom-caption branch
val_dataset = load_dataset("nickpai/coco2017-colorization", split="validation", revision="custom-caption")

Filtering Criteria

1. Grayscale Images

  • Images in grayscale mode are identified and removed.
  • Grayscale images lack color information are not be suitable for image colorization.

2. Identical Color Histograms

  • Images with identical histograms across color channels (red, green, and blue) are removed.
  • Such images may lack sufficient color variation, affecting model training and performance.

3. Low Color Variance

  • Images with low color variance, determined by a specified threshold, are removed.
  • Low color variance can indicate poor image quality or uniform color distribution.

For more details about the image filtering criteria, refer to the Dataset-for-Image-Colorization repository.

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