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c4ab25ff29d2d4afe7bb967603efe798c964f11da476c6b2e46ec6b664e2a166 | [
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"... | 66 | Letters | counting | |
556e481132a4757d200b9321fc6f7496be078ee848b08a3c12cce4eff6ff4695 | [
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... | 8 | American flags | counting | |
556e481132a4757d200b9321fc6f7496be078ee848b08a3c12cce4eff6ff4695 | [] | 0 | Japanese flags | counting | |
556e481132a4757d200b9321fc6f7496be078ee848b08a3c12cce4eff6ff4695 | [] | 0 | Korean flags | counting | |
556e481132a4757d200b9321fc6f7496be078ee848b08a3c12cce4eff6ff4695 | [
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556e481132a4757d200b9321fc6f7496be078ee848b08a3c12cce4eff6ff4695 | [
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"y"... | 49 | white stripes | counting | |
556e481132a4757d200b9321fc6f7496be078ee848b08a3c12cce4eff6ff4695 | [
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... | 380 | stars | counting | |
10bed3e48b664500b23640c06d4c488ab9cdd4789b5555f532e0ebd570dedb55 | [] | 0 | people | counting | |
670659307e0625fba4e932307ddcb178c50e12c381abf891b6529cfe8aebc824 | [] | 0 | dress shoes | counting | |
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"y... | 19 | non-blue colored seats in the stadium | counting | |
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"... | 97 | windows on the gray parts of the building | counting | |
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"... | 14 | men running a race on a blue track | counting | |
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] | 5 | officials sitting on chairs in the infield | counting | |
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"... | 14 | people not wearing hats | counting | |
4b86c8231a1223c327d02651e69c186507173bf26adccb09430119613945a475 | [] | 0 | people walking | counting | |
4b86c8231a1223c327d02651e69c186507173bf26adccb09430119613945a475 | [] | 0 | women running | counting | |
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] | 4 | white hats | counting | |
4b86c8231a1223c327d02651e69c186507173bf26adccb09430119613945a475 | [] | 0 | black hats | counting | |
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a903d16004613cfface280edccf498b0bb6df20d423b00dbbec83f6103158a74 | [] | 0 | coaches | counting | |
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"... | 140 | stadium chairs | counting | |
8752f01991ba40d13ce77556c47a25e275b5a1f305228787b7ed67dc23ca635c | [] | 0 | billboard | counting | |
8752f01991ba40d13ce77556c47a25e275b5a1f305228787b7ed67dc23ca635c | [] | 0 | spectator | counting | |
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5d3a364f03b0513385fc0b11a0e044cbd90329c533930b824bde14085dfec94e | [] | 0 | bojangles | counting | |
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4c34b9ab16399f49a25737cc750f41ed7e69d470d8b4490e843dd4e1d47dd344 | [] | 0 | spectator | counting | |
http://www.metroparkhotelmongkok.com/images/Event-front-l.jpg | 7cd8a00dc3fd28f9afc24db7fbca2aced2531e13bcdf4327b19e7c707ca5446c | [
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... | 23 | chairs | counting |
http://zdimg.lifeweek.com.cn/bg/20221213/1670934216992vdrsl.jpg | bdd6277b57f452b1559f92bb5d4cee16924a95a61984ec425abfb5b823ef00a6 | [
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{
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2c565854c7deaf3cb9181e4f8c4d2c6fcbe99d086fb83323c3b9e94424716946 | [
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... | 22 | shoes | counting | |
2c565854c7deaf3cb9181e4f8c4d2c6fcbe99d086fb83323c3b9e94424716946 | [] | 0 | socks | counting | |
0988d45e85649dee97eafde2230fa66338ca42f0bb954d5ea1d106f20ce4d0ad | [
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... | 23 | books | counting | |
859ca9dae51d581a1bb8fe1521bb0004b2105e7a84b955fef906c17d8d94e486 | [
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}
] | 4 | chair | counting | |
859ca9dae51d581a1bb8fe1521bb0004b2105e7a84b955fef906c17d8d94e486 | [] | 0 | tables | counting | |
859ca9dae51d581a1bb8fe1521bb0004b2105e7a84b955fef906c17d8d94e486 | [] | 0 | people | counting | |
9d4bcbf5c13c92bb75d5ed2459dbb4f1509feb919472f490e310c874130e1a86 | [
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}
] | 7 | recycle bins | counting | |
9d4bcbf5c13c92bb75d5ed2459dbb4f1509feb919472f490e310c874130e1a86 | [] | 0 | trash truck | counting | |
9d4bcbf5c13c92bb75d5ed2459dbb4f1509feb919472f490e310c874130e1a86 | [] | 0 | car | counting | |
50e7bc914fb73b2eaafe27675843486ee293857d8cf302ee6bb559a679a9f612 | [
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},
{
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},
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}
] | 8 | coffee cup | counting | |
6235282fb81bcec38c5a858b5f50944b9f2dfd53a7488939a47ddfc2c5ce79f6 | [
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},
{
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},
{
"x": 88.9,
"y":... | 60 | white seats | counting | |
6235282fb81bcec38c5a858b5f50944b9f2dfd53a7488939a47ddfc2c5ce79f6 | [] | 0 | cant see the back side of the seats | counting | |
a16ab69707be83d48b39489447948e1f21801c2461094f2872b72dd73931e16b | [
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},
{
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},
{
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... | 61 | dvds! | counting | |
a16ab69707be83d48b39489447948e1f21801c2461094f2872b72dd73931e16b | [] | 0 | cant see the front covers of the dvds! | counting | |
743599cb481e13bf56033d7ac1b7368c85b04e39b55a83ce6017a901a2d36f08 | [
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},
{
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},
{
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},
{
"x": 6... | 107 | coins | counting | |
743599cb481e13bf56033d7ac1b7368c85b04e39b55a83ce6017a901a2d36f08 | [] | 0 | cant see all the coin faces | counting | |
ac048befc46df648756d1ed59f784bedd1d21556c815e71833be8a0184a738b2 | [
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{
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},
{
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... | 47 | cars! | counting | |
ac048befc46df648756d1ed59f784bedd1d21556c815e71833be8a0184a738b2 | [] | 0 | cant see all of the cars | counting | |
50856fe73e425ac79ff38939a836e5adfc2b74b5d9c673aba50d96c938a493c6 | [
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{
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},
{
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},
{
"x": 3... | 30 | VHS tapes | counting | |
a48c7fad84d7c24e495e103e01caeca8398c90f47454f5780e34d8e733cd8a50 | [
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{
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"y": 32.3
},
{
"x": 35.8,
"y": 32
},
{
"x": 15.7,... | 20 | wrestling action figures | counting | |
797324af8a78a9b7d68c9a05e2bf4a8dd2fa657ad6f37704233904f0f84b5954 | [
{
"x": 79.4,
"y": 17
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{
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},
{
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},
{
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},
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},
{
"x": 40.1,
"y": 29.9
},
{
"x": 38.2,
"y": 30.1
},
{
"x": 33.9,
... | 51 | mall store spots | counting | |
bdb575e7c7465df7846336bb73a2bc261d05d3985d3c63d76019245b923087f8 | [
{
"x": 62.2,
"y": 71
},
{
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},
{
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{
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},
{
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"y": 44.1
},
{
"x": 67.4,
"y": 35.9
},
{
"x": 68.5,
"y": 26.9
}
] | 7 | shirts or something | counting | |
dbf050959753d5364bcba12c464fce57d8c5328dd64573bf9a3e3c1d12f9b4ef | [
{
"x": 94.125,
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{
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{
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"y": 71.667
},
{
"x": 83.625,
"y": 60
},
{
"x": 92.75,
"y": 59.... | 81 | Pictures of food | counting | |
af272d77771a9674ee831f806c40064657855eea9999abdb4104d684888266cf | [
{
"x": 90.375,
"y": 89.583
},
{
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{
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},
{
"x": 74.25,
"y": 89.333
},
{
"x": 71.125,
"y": 90.833
},
{
"x": 68.625,
"... | 135 | Tally marks | counting | |
0c171ecd9266ef00798e56ee7a17ae65f2cc72f78fcb75408b41f011f10c2277 | [] | 0 | Office workers | counting | |
0c171ecd9266ef00798e56ee7a17ae65f2cc72f78fcb75408b41f011f10c2277 | [] | 0 | Kitchen | counting | |
0c171ecd9266ef00798e56ee7a17ae65f2cc72f78fcb75408b41f011f10c2277 | [] | 0 | Restrooms | counting | |
0c171ecd9266ef00798e56ee7a17ae65f2cc72f78fcb75408b41f011f10c2277 | [] | 0 | CEO | counting | |
d2cdbb4e5665abe7b888a1819d5a50a84a57433a11d400c12fd96a49703ae623 | [
{
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{
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},
{
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{
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},
{
"x": 17.559,
"y": 25.927
},
{
"x": 24.672,
"y": 30.531
},
{
"x": 17.212,
... | 152 | A1 to H19 | counting | |
c7609819b160285745c372535622db021a774b38f73d523d7b0041d2269349cf | [
{
"x": 18.058,
"y": 60.625
},
{
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{
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{
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},
{
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},
{
"x": 94.933,
"y": 29.315
},
{
"x": 86.496,
"y": 20.982
}
] | 7 | tops of small soup bowls | counting | |
c7609819b160285745c372535622db021a774b38f73d523d7b0041d2269349cf | [
{
"x": 66.3,
"y": 46.083
},
{
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},
{
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},
{
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"y": 46.955
},
{
"x": 62.898,
"y": 33.123
},
{
"x": 83.31,
"y": 34.693
}
] | 6 | green plant springs | counting | |
c7609819b160285745c372535622db021a774b38f73d523d7b0041d2269349cf | [] | 0 | plate for bread | counting | |
1af118794927201caf30279937fe45d0d981a17b25ebbcab62caba5fbd65fe46 | [
{
"x": 57.598,
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},
{
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{
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},
{
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},
{
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},
{
"x": 59.804,
"y": 33.603
},
{
"x": 58.117,
"y": 34.771
},
{
"x": 62.009,
... | 168 | tiny round sugar sprinkles | counting | |
1af118794927201caf30279937fe45d0d981a17b25ebbcab62caba5fbd65fe46 | [
{
"x": 24.778,
"y": 59.962
},
{
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{
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{
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},
{
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},
{
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"y": 57.223
},
{
"x": 28.28,
"y": 57.126
},
{
"x": 26.723,
... | 82 | straight chocolate sprinkles | counting | |
1af118794927201caf30279937fe45d0d981a17b25ebbcab62caba5fbd65fe46 | [] | 0 | lemon frosted cupcake | counting | |
1af118794927201caf30279937fe45d0d981a17b25ebbcab62caba5fbd65fe46 | [] | 0 | macaron | counting | |
d6e200afab38cde3936dcd068393f55fa2382097c864fd51fee12f83912984d4 | [
{
"x": 39.802,
"y": 95.154
},
{
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},
{
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},
{
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},
{
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},
{
"x": 40.079,
"y": 69.034
},
{
"x": 48.135,
"y": 73.964
},
{
"x": 54.663,
"... | 59 | medium dark windows on building | counting | |
d6e200afab38cde3936dcd068393f55fa2382097c864fd51fee12f83912984d4 | [
{
"x": 24.259,
"y": 39.793
},
{
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},
{
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},
{
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},
{
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},
{
"x": 23.999,
"y": 50.847
},
{
"x": 23.999,
"y": 56.374
},
{
"x": 22.053,
"... | 18 | small dark windows far left side of building | counting | |
d6e200afab38cde3936dcd068393f55fa2382097c864fd51fee12f83912984d4 | [
{
"x": 66.16,
"y": 87.088
},
{
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},
{
"x": 74.203,
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},
{
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},
{
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},
{
"x": 63.306,
"y": 65.506
},
{
"x": 71.09,
"y": 70.665
},
{
"x": 69.014,
"... | 21 | bottom of balconies | counting | |
c2ccd42a19d9264cb23c670c59926ddb27e1c3790dda5f152e2b45f07f7cd444 | [
{
"x": 13.568,
"y": 11.681
},
{
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},
{
"x": 21.902,
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},
{
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},
{
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},
{
"x": 31.652,
"y": 4.138
},
{
"x": 31.818,
"y": 1.755
},
{
"x": 23.902,
"y": ... | 310 | different sized holes on leaves | counting | |
c2ccd42a19d9264cb23c670c59926ddb27e1c3790dda5f152e2b45f07f7cd444 | [
{
"x": 61.402,
"y": 8.065
},
{
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},
{
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},
{
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},
{
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},
{
"x": 12.235,
"y": 33.427
},
{
"x": 15.235,
"y": 33.634
},
{
"x": 4.152,
"y": 4... | 36 | lower cased a letters | counting | |
7ef547373fe8fca8c5644268af9839311ffed7c537295a1bf888b1575de74c29 | [
{
"x": 47.882,
"y": 38.849
},
{
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},
{
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},
{
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},
{
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},
{
"x": 86.082,
"y": 58.813
},
{
"x": 23.982,
"y": 61.309
},
{
"x": 11.682,
... | 9 | horizontal line of windows | counting | |
7ef547373fe8fca8c5644268af9839311ffed7c537295a1bf888b1575de74c29 | [] | 0 | people | counting | |
7ef547373fe8fca8c5644268af9839311ffed7c537295a1bf888b1575de74c29 | [] | 0 | wreath on door | counting | |
4bcc9ddd552c3aced33f1b6ad2f8be5890c1894038f07022fb7b13c7ed38af80 | [] | 0 | needle | counting | |
c7f59963934dffc7be6121d70c2af7c153e7102e42dabb42b8dcde13ad576c78 | [] | 0 | powder compact | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 45.3,
"y": 0.5
},
{
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},
{
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},
{
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},
{
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},
{
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},
{
"x": 30.7,
"y": 2.2
},
{
"x": 29.4,
"y": 1.9
},
{
"x": 28.2,
"... | 22 | books across top shelf, just bottom quarter showing | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 9.7,
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{
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{
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},
{
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},
{
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},
{
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},
{
"x": 18.3,
"y": 20.8
},
{
"x": 19.1,
"y": 13.9
},
{
"x": 19.8,
... | 51 | books on second shelf from top | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 10.4,
"y": 37
},
{
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{
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{
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},
{
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},
{
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},
{
"x": 15.7,
"y": 39.4
},
{
"x": 16.8,
"y": 39.6
},
{
"x": 17.... | 50 | books on middle shelf | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 11.6,
"y": 52.4
},
{
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},
{
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},
{
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},
{
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},
{
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},
{
"x": 18.4,
"y": 54.2
},
{
"x": 20.3,
"y": 54.8
},
{
"x": 22.... | 54 | books on second shelf from bottom | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 84.5,
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
"x": 73.3,
"y": 76.7
},
{
"x": 70.5,
"y": 76.5
},
{
"x": 68.2,
... | 44 | books on bottom shelf | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [] | 0 | front cover on books | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [] | 0 | back cover on books | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 37.8,
"y": 3.6
},
{
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},
{
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"y": 41.8
},
{
"x": 42.4,
"y": 60.3
},
{
"x": 41.6,
"y": 78.9
}
] | 5 | front of shelf going left to right | counting | |
f1e369bb3072ab4b1a9332a7f4391d93056aa55b094808ec0f430582b8984777 | [
{
"x": 37.8,
"y": 99.8
},
{
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},
{
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"y": 99.1
},
{
"x": 32.8,
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},
{
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},
{
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},
{
"x": 28.5,
"y": 98.9
},
{
"x": 27.4,
"y": 97.5
},
{
"x": 26.... | 20 | reflection of books on the floor | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 6.2,
"y": 43.2
},
{
"x": 9.3,
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},
{
"x": 13.3,
"y": 39.2
},
{
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},
{
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},
{
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},
{
"x": 31.8,
"y": 37.8
},
{
"x": 36.4,
"y": 32.7
},
{
"x": 40.... | 15 | men/boys | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 25.1,
"y": 48
},
{
"x": 26.2,
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},
{
"x": 39.6,
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},
{
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},
{
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},
{
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},
{
"x": 53.4,
"y": 34.1
},
{
"x": 61,
"y": 37.7
},
{
"x": 72.1,... | 10 | women/girls | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 6,
"y": 45.9
},
{
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},
{
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},
{
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},
{
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},
{
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"y": 32.3
},
{
"x": 40.6,
"y": 39.5
},
{
"x": 46.3,
"y": 48.2
}
] | 8 | jacket | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 10.1,
"y": 41.3
},
{
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"y": 39
},
{
"x": 25.1,
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},
{
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},
{
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},
{
"x": 41.4,
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},
{
"x": 38.2,
"y": 36.8
},
{
"x": 49.7,
"y": 37.6
},
{
"x": 53.... | 16 | shirt | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 38.5,
"y": 49.8
},
{
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"y": 44.3
},
{
"x": 71.9,
"y": 41.3
},
{
"x": 37.2,
"y": 38.7
}
] | 4 | dress | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [] | 0 | eyes | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [] | 0 | ears | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 7.1,
"y": 54.1
},
{
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},
{
"x": 17.5,
"y": 54.3
},
{
"x": 28.7,
"y": 49.8
},
{
"x": 33,
"y": 45.9
},
{
"x": 54.2,
"y": 47.7
},
{
"x": 58.6,
"y": 50.4
},
{
"x": 14.1,
"y": 44.3
},
{
"x": 23.5... | 16 | pants | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 39.1,
"y": 51.7
},
{
"x": 47.2,
"y": 50.4
},
{
"x": 71.2,
"y": 42.9
},
{
"x": 82.3,
"y": 54.1
},
{
"x": 4.4,
"y": 61.5
},
{
"x": 6.5,
"y": 61.8
},
{
"x": 8.6,
"y": 57.5
},
{
"x": 11,
"y": 57.3
},
{
"x": 13.9,
... | 39 | shoes | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 39,
"y": 53.8
},
{
"x": 46.7,
"y": 51.2
},
{
"x": 71.6,
"y": 44.5
},
{
"x": 82.9,
"y": 54.1
}
] | 4 | dress/skirt | counting | |
fe29fda8a8fe501c3017c5d8f183f1c633e6e75945a81c182f553908dcbb873a | [
{
"x": 39.3,
"y": 34.7
},
{
"x": 54.5,
"y": 35
},
{
"x": 59.2,
"y": 33.4
},
{
"x": 71.3,
"y": 33.1
},
{
"x": 77.4,
"y": 32.3
}
] | 5 | hat | counting | |
6740b469a51a39efe9ccd0c376150acf59d2cce45687977d1d13bcde904347c3 | [
{
"x": 95.804,
"y": 50.273
},
{
"x": 94.022,
"y": 50.866
},
{
"x": 92.241,
"y": 48.64
},
{
"x": 91.548,
"y": 50.866
},
{
"x": 90.162,
"y": 49.976
},
{
"x": 89.47,
"y": 51.46
},
{
"x": 88.678,
"y": 49.382
},
{
"x": 87.787,
"y... | 43 | bowling pins | counting | |
6740b469a51a39efe9ccd0c376150acf59d2cce45687977d1d13bcde904347c3 | [
{
"x": 91.944,
"y": 29.202
},
{
"x": 88.975,
"y": 30.241
},
{
"x": 85.511,
"y": 30.686
},
{
"x": 83.135,
"y": 30.834
},
{
"x": 84.224,
"y": 32.912
},
{
"x": 87.391,
"y": 32.467
},
{
"x": 90.855,
"y": 32.467
},
{
"x": 89.568,
... | 60 | pin identification markers | counting |
Subsets and Splits
<think>
Okay, let me figure this out.
Provides a basic random sample of the training data but offers no meaningful analysis or insights into the dataset's patterns or characteristics.