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conceptual-captions/train/imgs/3_3911723019
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conceptual-captions/train/imgs/7_2259577525
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conceptual-captions/train/imgs/13_37238469
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conceptual-captions/train/imgs/14_1476179400
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conceptual-captions/train/imgs/15_3193690664
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conceptual-captions/train/imgs/18_1546736244
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conceptual-captions/train/imgs/22_221984196
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conceptual-captions/train/imgs/25_1775766445
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conceptual-captions/train/imgs/26_133533083
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conceptual-captions/train/imgs/27_1130531879
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conceptual-captions/train/imgs/28_2553193526
[ "american football player looks downfield during the second half of a football game against sports team", "american football player runs after catching a pass during the first half of a football game against sports team" ]
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conceptual-captions/train/imgs/30_985714414
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conceptual-captions/train/imgs/31_1174884484
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conceptual-captions/train/imgs/33_273474514
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conceptual-captions/train/imgs/34_3904084326
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conceptual-captions/train/imgs/35_2076331293
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conceptual-captions/train/imgs/36_3648425980
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conceptual-captions/train/imgs/37_355170093
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conceptual-captions/train/imgs/38_143051419
[ "vintage elegant floral card with frame decorated with black and white lilies on a pink background .", "floral card with frame and black and white flowers on pink background" ]
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conceptual-captions/train/imgs/39_765926752
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conceptual-captions/train/imgs/41_2111847192
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conceptual-captions/train/imgs/43_3043005835
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conceptual-captions/train/imgs/44_3014836194
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conceptual-captions/train/imgs/45_506741509
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conceptual-captions/train/imgs/46_3471167497
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conceptual-captions/train/imgs/47_4230457690
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conceptual-captions/train/imgs/48_1864209833
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conceptual-captions/train/imgs/49_3130567326
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conceptual-captions/train/imgs/50_383602136
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conceptual-captions/train/imgs/52_515931644
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conceptual-captions/train/imgs/53_3243595199
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conceptual-captions/train/imgs/54_4245485897
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conceptual-captions/train/imgs/55_15291093
[ "seamless border of orange roses and paisley , pattern on a white background .", "a bright colorful border of watercolor flowers, branches and leaves, bouquets" ]
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conceptual-captions/train/imgs/56_756728780
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conceptual-captions/train/imgs/57_709165247
[ "museum , opened is among the 20th - century 's most significant buildings .", "the home consists of an structure on a lawn" ]
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conceptual-captions/train/imgs/58_4134596879
[ "river as it meets bodies of water where airline meets", "aerial water flows through a forested area in the city" ]
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conceptual-captions/train/imgs/60_3466537203
[ "a moored fishing boat viewed from island .", "a small boat floating on blue water in the bay with rocky shore on the coast" ]
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conceptual-captions/train/imgs/62_2205512889
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conceptual-captions/train/imgs/63_469444324
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conceptual-captions/train/imgs/64_645393932
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conceptual-captions/train/imgs/65_471680218
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conceptual-captions/train/imgs/66_972662838
[ "when choosing your new outdoor color palette , opt for something that will enhance your home 's architectural style and give you plenty of curb appeal .", "you can paint your home with a deep blue and a bright white" ]
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conceptual-captions/train/imgs/67_2296370565
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conceptual-captions/train/imgs/68_2017414256
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conceptual-captions/train/imgs/69_2150639606
[ "person finishes at the top", "a man stands on the course while another golfer is in golf" ]
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conceptual-captions/train/imgs/70_3618083043
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conceptual-captions/train/imgs/71_4127283939
[ "paths are clearly marked with signs like this .", "signs warning about road and the trees and trails" ]
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conceptual-captions/train/imgs/72_341234699
[ "putts for birdie on the second hole during the final round of the golf tournament .", "golfer lines up her putt on the first hole during round for golf" ]
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conceptual-captions/train/imgs/73_4051720137
[ "person shot from a cliff looking out at the lake and horizon .", "the trail as seen through trees overlooking a body of water" ]
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conceptual-captions/train/imgs/74_560866173
[ "sending this angel your way ... it lights the way with it 's tiny candle .", "a figurine of an angel with a heart in her hand" ]
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conceptual-captions/train/imgs/75_3103491933
[ "i love the colours of her clothes .", "a woman with long shoes and a very simple white dress" ]
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conceptual-captions/train/imgs/76_2431096805
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conceptual-captions/train/imgs/77_2518302057
[ "ask owner for photos of the car", "a car that has been fully wrapped up, and is" ]
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conceptual-captions/train/imgs/78_1805683715
[ "the state of the world 's forests", "a map shows the number of live trees around the world" ]
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conceptual-captions/train/imgs/79_4226736278
[ "the mountain slopes covered with powdery snow are popular with visitors , especially foreign tourists", "many people ski down a snowy hill, with a crowd on the snow" ]
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conceptual-captions/train/imgs/80_2466592622
[ "farm tractor is moving on the field , cultivating land", "a farmer in blue tractor plows the soil for sowing" ]
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conceptual-captions/train/imgs/81_1481861167
[ "master playing with his little golden retriever dog on the lawn", "man holding leash of golden dog running behind them in a park" ]
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conceptual-captions/train/imgs/82_3786458886
[ "year later the small shrubs doubled in size .", "a blue pot, similar to one used on a small garden, with plants, flowers and a house" ]
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conceptual-captions/train/imgs/83_318831379
[ "according to the model , she regularly gets told it looks", "a woman with a tattoo of a goat on her left arm" ]
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conceptual-captions/train/imgs/85_2126042634
[ "good night id been working like a dog i should be sleeping like a log", "a puppy is like no other" ]
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conceptual-captions/train/imgs/86_379665297
[ "the water was never deeper than your chest .", "a river with many people swimming and bathing in it, and a small village in the background" ]
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conceptual-captions/train/imgs/87_2115710104
[ "twilight over italian gothic structure and the medieval town", "square and building function of the walled city in old town at night or dusk" ]
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conceptual-captions/train/imgs/88_2577368014
[ "a simple wedding cake with lego bride and groom topper and cake pops .", "the yellow flowers on the table are decorated around the white cake that has candles on it" ]
[ 2019, 1380, 3790, 977, 1405, 670, 2111 ]
[ [ 1380, 1405, 670 ], [ 2019, 1380 ] ]
conceptual-captions/train/imgs/89_3239837551
[ "simple custom leather pulls for your dresser , cabinets , or doors .", "the handles on these doors are black" ]
[ 2689, 1756, 3399, 3629, 3986, 4533, 4253, 2938, 1948, 3997 ]
[ [ 3399 ], [ 3629, 3986, 1748, 4533, 4253 ] ]
conceptual-captions/train/imgs/90_3883117896
[ "sunny woodland morning along river .", "sun shining through the trees onto a path in the woods" ]
[ 453, 4582, 4543, 141, 2735, 3187, 1299, 2163, 3866, 927 ]
[ [ 1299, 453, 4543 ], [ 4582, 3187, 2163, 3866, 927 ] ]
conceptual-captions/train/imgs/91_2388291017
[ "person , why u turn me on with your designs ? i believe i will bepinning some more of his work here in a bit .", "poster for a film starring person and zombies" ]
[ 3009, 806, 200, 3210, 1068, 3852, 4205, 2163, 788, 3414, 151, 3167 ]
[ [ 3009, 3852, 3167 ], [ 3009, 806, 1068, 3852, 3167 ] ]
conceptual-captions/train/imgs/92_2782287774
[ "pop artist performs on stage .", "pop artist performs on stage with celebrity at concert" ]
[ 1441, 3399, 936, 2797, 498, 3093, 1563, 4411 ]
[ [ 2797, 3093 ], [ 4411, 1441, 498, 1563 ] ]
conceptual-captions/train/imgs/93_3329661374
[ "industrial plants in the distance at night", "an industrial factory at dusk next to a body of water" ]
[ 1441, 613, 1030, 3336, 3724, 2797, 2203, 1948, 2975 ]
[ [ 2797, 2203, 613, 3725 ], [ 1668, 613, 1030, 3724, 2797, 2203, 2975 ] ]
conceptual-captions/train/imgs/94_2527869952
[ "building and skyscraper light up at night", "skyline at night with the top of the building lit up in the colors of the flag and green and red" ]
[ 480, 1634, 1989, 2537, 3179, 1550, 16, 3634, 2163, 2395, 1948, 927 ]
[ [ 16, 2395 ], [ 480, 1989, 3179, 1550, 3634, 2163, 1948 ] ]
conceptual-captions/train/imgs/95_3633582077
[ "actor is an actor who started out as a lawyer .", "portrait of a person with blue eyes and hair in green shirt" ]
[ 3046, 2475, 1006, 3439, 1141, 1301, 571, 1948, 2111 ]
[ [ 2475, 1948, 1141 ], [ 3046, 2475, 498, 1141, 1301, 571, 1948 ] ]
conceptual-captions/train/imgs/96_2320857675
[ "color good with green couch in living room ... favorite ... i think maybe a little too peach ?", "living room with green sofa, a trunk, table and pictures on the wall" ]
[ 480, 4480, 4036, 3721, 2734, 4496, 1271, 984, 1948, 4253, 4254 ]
[ [ 4036, 2734, 4496, 984, 4254 ], [ 480, 3721, 2734, 984, 1948, 4253 ] ]
conceptual-captions/train/imgs/98_3097027254
[ "tree branches swing at real time with the wind while clouds move fast in time lapse", "time lapse clip of clouds moving fast over blue sky and green trees" ]
[ 2145, 678, 1225, 1010, 3698, 1271, 409, 1342 ]
[ [ 1010, 1271 ], [ 2145, 678, 1225, 3698, 1010, 409, 1342, 3519 ] ]
conceptual-captions/train/imgs/99_2050618017
[ "my coffee of the day !", "cup of hot coffee or beverage sitting on saucer on plate next to plate with cake on it" ]
[ 1764, 780, 77, 3087, 1041, 3729, 1363, 2163, 1141, 3958, 4218, 2396 ]
[ [ 1041, 780, 1764 ], [ 780, 77, 3052, 3087, 3729, 1141, 3958, 2396 ] ]
conceptual-captions/train/imgs/100_4263465436
[ "mirror image : lonely kitten seeks comfort in the form of a cuddly cat", "small kitten sleeping on plaid couch with stuffed animal laying on pillow" ]
[ 2625, 1121, 997, 4265, 879, 2163, 1692, 4029, 3326 ]
[ [ 2625, 1121, 997, 4265, 1143, 1692 ], [ 537, 2163, 1121 ] ]
conceptual-captions/train/imgs/101_389952165
[ "this trick really is the best way to cut corn off the cob , because it saves making a big mess on the counter and floor .", "a person using a paring knife on a bowl of corn" ]
[ 2207, 2689, 3046, 2654, 330, 3179, 2700, 2732, 879, 1871, 4403, 1268, 598, 4190, 2111 ]
[ [ 330, 3179, 2700, 2732, 879, 598 ], [ 3046, 330, 2700, 2732, 879, 598, 2207 ] ]
conceptual-captions/train/imgs/102_1202724063
[ "portrait of young mother and little child brushing their teeth together while standing in the bathroom", "picture of the image of young mother with little child brushing their teeth while sitting in the bathroom" ]
[ 613, 936, 4362, 491, 2029, 1359, 4411, 3480, 1659, 2685 ]
[ [ 4362, 2029 ], [ 613, 491, 2029, 4411, 2685 ] ]
conceptual-captions/train/imgs/103_3615646410
[ "the harbor a small village", "boats moored in the water at the old harbor with small buildings" ]
[ 3683, 4389, 2982, 4007, 3944, 2537, 4010, 3404, 1197, 3405, 2163, 788, 4568 ]
[ [ 4010, 1197, 4231 ], [ 4389, 3944, 2537, 4009, 788, 4568 ] ]
conceptual-captions/train/imgs/104_1487857112
[ "a traffic sign warns of surfers crossing !", "yellow street sign with a man holding a surfboard walking across it" ]
[ 480, 4128, 738, 2434, 2790, 909, 3760, 1395, 917, 3608, 2206 ]
[ [ 480, 4128, 917 ], [ 2434, 738, 3760, 917, 3608 ] ]
conceptual-captions/train/imgs/105_1816275749
[ "greeting card with bright blue text and abstract christmas tree on a white background vector art illustration", "a winter themed card with snowflakes in the shape of a christmas tree, and lettering" ]
[ 480, 4449, 2562, 1702, 4427, 1904, 3218, 3445, 2239 ]
[ [ 4427, 1702 ], [ 480, 3218, 3445, 1702 ] ]
conceptual-captions/train/imgs/106_722300205
[ "such pretty watercolor flowers and can be in any languages", "wedding design with watercolour - printed flowers, roses and blue" ]
[ 3683, 3237, 3238, 2920, 3404, 3316 ]
[ [ 2920 ], [ 2920, 4311 ] ]
conceptual-captions/train/imgs/107_409972251
[ "newspaper became a free newspaper", "a newspaper dispenser full of newspapers next to an umbrella" ]
[ 2689, 462, 1935, 4496, 1937, 1426, 1616, 2962, 3997, 4253, 375, 126, 477, 1022 ]
[ [ 2689, 462, 1935, 375, 126, 1022 ], [ 1935, 4496, 1937, 1426, 4253, 477 ] ]
conceptual-captions/train/imgs/108_3839491594
[ "ancient open prairie of west on a cold morning beds and grasses cover much of the area", "tall grass blowing in the wind with dry grassland and trees in the background" ]
[ 1948, 4533, 1271, 3995, 1756, 4253 ]
[ [ 3995, 1756, 1271 ], [ 1748, 4253, 4533 ] ]
conceptual-captions/train/imgs/109_2640162088
[ "forest on a sunny day", "a path inside the woods is shown with trees and green leaves" ]
[ 1475, 4389, 2085, 2086, 2537, 3983, 1363, 2771, 4532, 4533, 1748, 2712, 1756, 1151 ]
[ [ 1475, 2085, 3983, 1363, 2771, 1151 ], [ 4389, 2537, 1363, 4532, 4533, 1756, 1151 ] ]
conceptual-captions/train/imgs/110_3928166039
[ "happy senior couple with dog on a hike in summer in the nature", "an elderly couple walking through the woods, in a forest or green country with dog, old man and woman" ]
[ 480, 512, 936, 141, 462, 2735, 2163, 3187, 437, 3966, 927 ]
[ [ 3966 ], [ 480, 512, 936, 141, 462, 2163, 437 ] ]
conceptual-captions/train/imgs/111_1131299717
[ "illustrator who has a rather simply haunting style .", "cover for the book, art by person with a cartoon image of a blue bird on city" ]
[ 1569, 3591, 4520, 2025, 3754, 2155, 557, 462, 3760, 1712, 437, 3765, 439, 440, 4253 ]
[ [ 1569, 3591, 3754, 3760, 1712, 437, 440, 4253 ], [ 3591, 3754, 557, 462, 437, 439, 4253 ] ]
conceptual-captions/train/imgs/112_1161845922
[ "birds fly up to the feeder and take seeds , snow on trees , falling snowflakes for the birdhouse", "the birds have started to eat seeds in a wooden bird feeder that is hanging from a branch on a tree with snow covered" ]
[ 1984, 1922, 1923, 936, 2481, 3537, 2163, 949, 3256, 3609, 2207 ]
[ [ 3256, 2481, 2163 ], [ 1922, 1923, 2481, 949, 3256, 3609, 2207 ] ]
conceptual-captions/train/imgs/113_344796839
[ "hands in \\ walking through his old elementary hallways , person is congratulated by current students .", "images from the graduation of graduating students are being shared by a class, even though the hallways are crowded with students" ]

Recognize Anything Dataset Card

Dataset details

Dataset type: These annotation files come from the Recognize Anything Model (RAM). RAM propose an automatic data engine to generate substantial image tags from image-text pairs.

Dataset date: Recognize Anything Dataset was collected in April 2023, by an automatic data engine proposed by RAM.

Paper or resources for more information: https://github.com/xinyu1205/recognize-anything

Where to send questions or comments about the model: https://github.com/xinyu1205/recognize-anything/issues

Intended use

Primary intended uses: The primary use of Recognize Anything is research on fundamental image recognition models.

Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

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