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"... | 12 | Whiskers | counting |
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"... | 29 | Shoes | counting | |
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... | 11 | White line in street | counting | |
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... | 9 | Windows | counting | |
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... | 27 | Logs/sticks | counting | |
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"... | 8 | Circles | counting | |
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... | 62 | illustrations of people | counting | |
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"... | 12 | people in group on the middle right | counting | |
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"... | 17 | people colored dark grey | counting | |
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... | 10 | people colored medium grey | counting | |
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... | 17 | people in second row from front of each group | counting | |
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"... | 11 | people in back row of each group | counting | |
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"... | 58 | bottle caps | counting | |
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},
{
"x": 69.206,
"y": 21.632
},
{
"x": 71.745,
"y": 25.762
},
{
"x": 76.628,
"y": 24.287
},
{
"x": 69.401,
"y": 36.971
},
{
"x": 80.924,
... | 15 | football players | counting | |
a903d16004613cfface280edccf498b0bb6df20d423b00dbbec83f6103158a74 | [
{
"x": 27.995,
"y": 45.133
},
{
"x": 40.788,
"y": 36.283
},
{
"x": 29.362,
"y": 76.401
},
{
"x": 68.913,
"y": 20.354
},
{
"x": 68.913,
"y": 36.431
},
{
"x": 78.678,
"y": 22.861
},
{
"x": 81.413,
"y": 38.938
},
{
"x": 84.538,
... | 9 | Patriots players | counting | |
a903d16004613cfface280edccf498b0bb6df20d423b00dbbec83f6103158a74 | [
{
"x": 89.616,
"y": 45.723
},
{
"x": 71.257,
"y": 26.254
},
{
"x": 87.37,
"y": 16.814
},
{
"x": 94.401,
"y": 6.932
},
{
"x": 99.089,
"y": 31.121
},
{
"x": 96.354,
"y": 61.062
}
] | 6 | Giants players | counting | |
a903d16004613cfface280edccf498b0bb6df20d423b00dbbec83f6103158a74 | [
{
"x": 12.272,
"y": 65.487
},
{
"x": 25.456,
"y": 66.519
},
{
"x": 38.932,
"y": 64.012
},
{
"x": 72.428,
"y": 98.378
},
{
"x": 86.393,
"y": 98.525
},
{
"x": 99.284,
"y": 95.428
}
] | 6 | tick marks on field | counting | |
774ea67452b195a81f880342553436ed649e68cac4d7926194ab7e06db58d304 | [
{
"x": 16.959,
"y": 15.024
},
{
"x": 15.578,
"y": 22.309
},
{
"x": 13.851,
"y": 29.789
},
{
"x": 14.369,
"y": 36.977
},
{
"x": 13.678,
"y": 42.513
},
{
"x": 12.469,
"y": 49.896
},
{
"x": 12.297,
"y": 55.433
}
] | 7 | settings | counting | |
774ea67452b195a81f880342553436ed649e68cac4d7926194ab7e06db58d304 | [
{
"x": 50.731,
"y": 8.106
},
{
"x": 10.321,
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},
{
"x": 23.478,
"y": 16.123
},
{
"x": 22.538,
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},
{
"x": 6.405,
"y": 22.819
},
{
"x": 8.285,
"y": 29.074
},
{
"x": 16.273,
"y": 29.251
},
{
"x": 8.911,
"y"... | 15 | words in black lettering | counting | |
774ea67452b195a81f880342553436ed649e68cac4d7926194ab7e06db58d304 | [
{
"x": 66.591,
"y": 16.065
},
{
"x": 73.588,
"y": 16.288
},
{
"x": 85.073,
"y": 22.6
},
{
"x": 90.222,
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},
{
"x": 90.486,
"y": 35.893
},
{
"x": 89.958,
"y": 42.28
},
{
"x": 91.278,
"y": 49.161
},
{
"x": 90.354,
"y... | 29 | words in grey lettering | counting | |
774ea67452b195a81f880342553436ed649e68cac4d7926194ab7e06db58d304 | [
{
"x": 4.277,
"y": 1.832
},
{
"x": 9.558,
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},
{
"x": 15.895,
"y": 1.98
},
{
"x": 74.908,
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},
{
"x": 79.397,
"y": 1.683
},
{
"x": 84.677,
"y": 2.129
},
{
"x": 89.43,
"y": 2.203
},
{
"x": 21.704,
"y": 96.64... | 10 | icons | counting | |
http://image.shutterstock.com/z/stock-vector-complete-set-of-traffic-signs-31686793.jpg | 754aa21a4687ac3da699601cc0feb542ea7d5976fcae385f0d8b2d09490c7516 | [
{
"x": 93.5,
"y": 2.317
},
{
"x": 85.389,
"y": 1.635
},
{
"x": 76.722,
"y": 3.816
},
{
"x": 69.611,
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},
{
"x": 62.722,
"y": 2.998
},
{
"x": 56.389,
"y": 3.68
},
{
"x": 47.611,
"y": 3.68
},
{
"x": 40.167,
"y": 2.998... | 180 | traffic/roadway signs/symbols | counting |
http://image.shutterstock.com/z/stock-vector-complete-set-of-traffic-signs-31686793.jpg | 754aa21a4687ac3da699601cc0feb542ea7d5976fcae385f0d8b2d09490c7516 | [] | 0 | what each symbol represents | counting |
5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [] | 0 | country of origin | counting | |
603cad84a3392eb39bb2c5421552f7c754033f395524a7f707b5678174df57ff | [] | 0 | names of dishes/cuisines | counting | |
603cad84a3392eb39bb2c5421552f7c754033f395524a7f707b5678174df57ff | [
{
"x": 10.485,
"y": 4.883
},
{
"x": 32.452,
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},
{
"x": 54.183,
"y": 4.515
},
{
"x": 82.528,
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},
{
"x": 82.292,
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},
{
"x": 60.325,
"y": 8.027
},
{
"x": 39.775,
"y": 8.061
},
{
"x": 14.028,
"y": 8... | 160 | individually plated foods | counting | |
a68877fc8066f4383f4c5c11dd6218cf8797f604fb03c08ba6246c66a5a91c9f | [
{
"x": 18,
"y": 10.65
},
{
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},
{
"x": 40.8,
"y": 9.75
},
{
"x": 49.2,
"y": 9.25
},
{
"x": 57.5,
"y": 10.15
},
{
"x": 62.8,
"y": 9.85
},
{
"x": 70.9,
"y": 10.05
}
] | 7 | hangers | counting | |
a68877fc8066f4383f4c5c11dd6218cf8797f604fb03c08ba6246c66a5a91c9f | [
{
"x": 30.8,
"y": 95.85
},
{
"x": 20.9,
"y": 90.25
},
{
"x": 66.8,
"y": 82.45
},
{
"x": 80.2,
"y": 89.55
}
] | 4 | wheels | counting | |
a68877fc8066f4383f4c5c11dd6218cf8797f604fb03c08ba6246c66a5a91c9f | [
{
"x": 34.7,
"y": 35.15
},
{
"x": 48.4,
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},
{
"x": 56.3,
"y": 29.95
},
{
"x": 65.7,
"y": 27.85
},
{
"x": 71.9,
"y": 26.35
},
{
"x": 79.5,
"y": 25.55
}
] | 6 | long sleeve clothing | counting | |
64c8996c477cc69c628086c58a51db8548a10b7e0b14fb7a92b0ba1953f9310d | [
{
"x": 80.9,
"y": 26.652
},
{
"x": 91,
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},
{
"x": 99,
"y": 36.411
},
{
"x": 39.8,
"y": 36.712
},
{
"x": 35.1,
"y": 36.712
},
{
"x": 30.7,
"y": 36.712
},
{
"x": 26.7,
"y": 37.012
},
{
"x": 22.1,
"y": 35.661
},
... | 12 | hangers | counting | |
64c8996c477cc69c628086c58a51db8548a10b7e0b14fb7a92b0ba1953f9310d | [
{
"x": 27.1,
"y": 72.147
},
{
"x": 22,
"y": 72.147
},
{
"x": 13.4,
"y": 72.147
},
{
"x": 4.6,
"y": 72.297
}
] | 4 | white shirts | counting | |
a260acf3b64fed301f39f44aa07b0f255b76ee10a7cdd486726f1fe0310bed1c | [
{
"x": 26.3,
"y": 28.711
},
{
"x": 40.1,
"y": 29.01
},
{
"x": 60.9,
"y": 28.711
},
{
"x": 82.4,
"y": 27.061
},
{
"x": 80.5,
"y": 46.702
},
{
"x": 79.5,
"y": 68.891
},
{
"x": 63.4,
"y": 69.34
},
{
"x": 50.6,
"y": 70.99
},
... | 14 | books | counting | |
a260acf3b64fed301f39f44aa07b0f255b76ee10a7cdd486726f1fe0310bed1c | [
{
"x": 38.4,
"y": 88.981
},
{
"x": 40.5,
"y": 89.88
},
{
"x": 42.8,
"y": 90.03
},
{
"x": 45.7,
"y": 89.58
},
{
"x": 48.8,
"y": 89.58
},
{
"x": 53.4,
"y": 89.58
}
] | 6 | magazines | counting | |
a260acf3b64fed301f39f44aa07b0f255b76ee10a7cdd486726f1fe0310bed1c | [] | 0 | pens | counting | |
c35fc412bc6afe58c1d3004bc0375d1a0803543df4e1e2f3320bb9c2cac81b1b | [
{
"x": 68.652,
"y": 18.852
},
{
"x": 69.629,
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},
{
"x": 69.629,
"y": 34.545
},
{
"x": 69.434,
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},
{
"x": 70.996,
"y": 49.569
},
{
"x": 70.508,
"y": 55.694
},
{
"x": 70.41,
"y": 62.584
},
{
"x": 70.508,
"... | 15 | numbers | counting | |
c35fc412bc6afe58c1d3004bc0375d1a0803543df4e1e2f3320bb9c2cac81b1b | [
{
"x": 86.914,
"y": 85.12
},
{
"x": 86.23,
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},
{
"x": 86.035,
"y": 69.33
},
{
"x": 85.938,
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},
{
"x": 85.938,
"y": 55.837
},
{
"x": 85.84,
"y": 49.139
},
{
"x": 85.938,
"y": 42.249
},
{
"x": 86.426,
"y"... | 10 | eyes | counting | |
c35fc412bc6afe58c1d3004bc0375d1a0803543df4e1e2f3320bb9c2cac81b1b | [
{
"x": 90.723,
"y": 86.077
},
{
"x": 90.723,
"y": 77.081
},
{
"x": 90.625,
"y": 69.043
},
{
"x": 90.039,
"y": 63.206
},
{
"x": 90.039,
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},
{
"x": 90.137,
"y": 48.373
},
{
"x": 90.137,
"y": 42.727
},
{
"x": 90.527,
... | 10 | graphs | counting | |
c35fc412bc6afe58c1d3004bc0375d1a0803543df4e1e2f3320bb9c2cac81b1b | [
{
"x": 94.531,
"y": 86.077
},
{
"x": 94.434,
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},
{
"x": 95.313,
"y": 70
},
{
"x": 95.313,
"y": 61.388
},
{
"x": 94.434,
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},
{
"x": 94.434,
"y": 48.565
},
{
"x": 94.824,
"y": 42.536
},
{
"x": 94.824,
"y"... | 10 | right arrows | counting | |
c35fc412bc6afe58c1d3004bc0375d1a0803543df4e1e2f3320bb9c2cac81b1b | [
{
"x": 9.57,
"y": 85.407
},
{
"x": 9.57,
"y": 76.699
},
{
"x": 9.18,
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},
{
"x": 9.18,
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},
{
"x": 9.57,
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},
{
"x": 9.473,
"y": 48.086
},
{
"x": 9.473,
"y": 34.498
},
{
"x": 9.473,
"y": 25.598
... | 8 | diagonal arrows | counting | |
6373d1192abdb0ae0f70c0373a34a59890414c6b509db2940e110b8e3a482b5c | [
{
"x": 28.027,
"y": 40.381
},
{
"x": 40.625,
"y": 42.92
},
{
"x": 44.434,
"y": 46.826
},
{
"x": 49.316,
"y": 51.709
},
{
"x": 56.641,
"y": 56.201
},
{
"x": 63.672,
"y": 62.354
}
] | 6 | pens | counting | |
6373d1192abdb0ae0f70c0373a34a59890414c6b509db2940e110b8e3a482b5c | [
{
"x": 24.707,
"y": 41.748
},
{
"x": 25.195,
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},
{
"x": 29.59,
"y": 52.393
},
{
"x": 38.184,
"y": 59.131
},
{
"x": 43.457,
"y": 65.088
}
] | 5 | pens with caps | counting | |
022ab25cc3563e46d7b24eeadc065705d026d197fade5a725b58fbf31d667e56 | [
{
"x": 42.536,
"y": 63.428
},
{
"x": 48.112,
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},
{
"x": 56.475,
"y": 54.15
},
{
"x": 63.669,
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},
{
"x": 69.784,
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},
{
"x": 77.158,
"y": 59.619
},
{
"x": 83.363,
"y": 60.596
},
{
"x": 89.748,
... | 57 | utensils | counting | |
022ab25cc3563e46d7b24eeadc065705d026d197fade5a725b58fbf31d667e56 | [
{
"x": 42.806,
"y": 18.115
},
{
"x": 45.414,
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},
{
"x": 47.302,
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},
{
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},
{
"x": 51.978,
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},
{
"x": 54.766,
"y": 21.24
},
{
"x": 56.835,
"y": 21.24
},
{
"x": 59.263,
"y": ... | 20 | knives | counting | |
022ab25cc3563e46d7b24eeadc065705d026d197fade5a725b58fbf31d667e56 | [
{
"x": 42.626,
"y": 20.068
},
{
"x": 45.594,
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},
{
"x": 47.932,
"y": 21.24
},
{
"x": 49.55,
"y": 21.338
},
{
"x": 52.518,
"y": 21.338
},
{
"x": 54.586,
"y": 21.729
},
{
"x": 57.464,
"y": 22.217
},
{
"x": 59.173,
"y... | 12 | long knives | counting | |
022ab25cc3563e46d7b24eeadc065705d026d197fade5a725b58fbf31d667e56 | [
{
"x": 70.773,
"y": 24.854
},
{
"x": 73.022,
"y": 25.732
},
{
"x": 75.27,
"y": 26.123
},
{
"x": 77.788,
"y": 27.393
},
{
"x": 80.126,
"y": 27.979
},
{
"x": 82.464,
"y": 28.076
},
{
"x": 83.903,
"y": 28.076
},
{
"x": 87.23,
"... | 8 | short knives | counting | |
http://www.thesurvivalgardener.com/wp-content/uploads/2016/05/Screen-Shot-2016-05-09-at-2.58.05-PM.png | f6ecd3834d5ed74824f25283e7d70e5afc39b3163b96e1de2a613aef9ee0eabf | [
{
"x": 12.622,
"y": 19.167
},
{
"x": 49.024,
"y": 18.106
},
{
"x": 85.704,
"y": 18.106
},
{
"x": 87.099,
"y": 67.045
},
{
"x": 48.466,
"y": 69.924
},
{
"x": 12.622,
"y": 70.076
}
] | 6 | books | counting |
http://www.thesurvivalgardener.com/wp-content/uploads/2016/05/Screen-Shot-2016-05-09-at-2.58.05-PM.png | f6ecd3834d5ed74824f25283e7d70e5afc39b3163b96e1de2a613aef9ee0eabf | [
{
"x": 5.788,
"y": 87.197
},
{
"x": 8.02,
"y": 87.197
},
{
"x": 10.391,
"y": 87.197
},
{
"x": 13.319,
"y": 87.197
},
{
"x": 15.132,
"y": 87.197
},
{
"x": 42.608,
"y": 87.5
},
{
"x": 44.421,
"y": 87.5
},
{
"x": 46.374,
"y": 8... | 30 | stars | counting |
http://www.thesurvivalgardener.com/wp-content/uploads/2016/05/Screen-Shot-2016-05-09-at-2.58.05-PM.png | f6ecd3834d5ed74824f25283e7d70e5afc39b3163b96e1de2a613aef9ee0eabf | [
{
"x": 7.462,
"y": 92.727
},
{
"x": 43.584,
"y": 92.424
},
{
"x": 79.986,
"y": 90.455
},
{
"x": 79.289,
"y": 44.091
},
{
"x": 43.863,
"y": 40.909
},
{
"x": 7.741,
"y": 44.394
}
] | 6 | prices | counting |
http://www.thesurvivalgardener.com/wp-content/uploads/2016/05/Screen-Shot-2016-05-09-at-2.58.05-PM.png | f6ecd3834d5ed74824f25283e7d70e5afc39b3163b96e1de2a613aef9ee0eabf | [
{
"x": 9.693,
"y": 90.455
},
{
"x": 45.955,
"y": 90.455
},
{
"x": 45.676,
"y": 39.394
},
{
"x": 10.112,
"y": 40.606
}
] | 4 | paperback | counting |
86591f447591f58c10f104b23033f280e32341bee9dc4873a7182a3d4dd5e16d | [
{
"x": 69.167,
"y": 40.349
},
{
"x": 71.75,
"y": 40.474
},
{
"x": 73.667,
"y": 39.849
},
{
"x": 76.167,
"y": 39.849
},
{
"x": 79.917,
"y": 38.85
},
{
"x": 81.583,
"y": 38.85
},
{
"x": 83.917,
"y": 38.475
},
{
"x": 86.75,
"y"... | 28 | lights | counting | |
86591f447591f58c10f104b23033f280e32341bee9dc4873a7182a3d4dd5e16d | [] | 0 | birds | counting | |
a2fe2cd3fa8de1a1b7497107496852cf0c4efa52c91cce1f9883c8396ea551d8 | [
{
"x": 91.083,
"y": 89.034
},
{
"x": 62.583,
"y": 86.035
},
{
"x": 27.25,
"y": 63.04
},
{
"x": 40.083,
"y": 32.714
},
{
"x": 57.75,
"y": 41.157
},
{
"x": 87.083,
"y": 51.932
},
{
"x": 95.083,
"y": 39.268
},
{
"x": 67.917,
"y... | 14 | pokemon cards | counting | |
17b1df98f5294931a07d0cdc9e6f3a6a1fe43a5abab646c971ecc8e497ec02b4 | [
{
"x": 36.347,
"y": 57.361
},
{
"x": 27.126,
"y": 41.023
},
{
"x": 51.437,
"y": 40.126
},
{
"x": 73.473,
"y": 35.458
},
{
"x": 62.335,
"y": 62.208
}
] | 5 | cookies | counting | |
17b1df98f5294931a07d0cdc9e6f3a6a1fe43a5abab646c971ecc8e497ec02b4 | [
{
"x": 37.784,
"y": 76.75
},
{
"x": 27.246,
"y": 43.537
},
{
"x": 46.287,
"y": 39.946
},
{
"x": 70.359,
"y": 39.946
}
] | 4 | full cookies | counting | |
bba64e520e220ce077744c13dbbdbadc4849f8e32ef626d6f2445a77ccc5b0d6 | [
{
"x": 38.111,
"y": 66.08
},
{
"x": 17.111,
"y": 64.906
},
{
"x": 28.222,
"y": 26.174
},
{
"x": 45.444,
"y": 32.746
},
{
"x": 64.222,
"y": 61.62
},
{
"x": 80.333,
"y": 47.77
},
{
"x": 60.667,
"y": 16.08
}
] | 7 | photos | counting | |
http://footballteams.ucoz.ru/_bl/0/99356268.jpg | d0841bf8e14dc7eda6171231aa2b672c2fbc85bef491b07ac201229e19bc0ac9 | [
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},
{
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},
{
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"... | 32 | men | counting |
http://footballteams.ucoz.ru/_bl/0/99356268.jpg | d0841bf8e14dc7eda6171231aa2b672c2fbc85bef491b07ac201229e19bc0ac9 | [] | 0 | women | counting |
http://footballteams.ucoz.ru/_bl/0/99356268.jpg | d0841bf8e14dc7eda6171231aa2b672c2fbc85bef491b07ac201229e19bc0ac9 | [] | 0 | child | counting |
http://footballteams.ucoz.ru/_bl/0/99356268.jpg | d0841bf8e14dc7eda6171231aa2b672c2fbc85bef491b07ac201229e19bc0ac9 | [] | 0 | score board | counting |
http://footballteams.ucoz.ru/_bl/0/99356268.jpg | d0841bf8e14dc7eda6171231aa2b672c2fbc85bef491b07ac201229e19bc0ac9 | [
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{
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{
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"y":... | 349 | chairs | counting |
https://a1.espncdn.com/combiner/i?img=%2Fphoto%2F2021%2F0728%2Fr886820_2_1296x729_16-9.jpg | 86c9af17f88af71fd00b4b401c0b1c9fa9a458634a2e736ebedcf8914d38e8d8 | [
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{
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},
{
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}
] | 5 | basket ball players | counting |
https://a1.espncdn.com/combiner/i?img=%2Fphoto%2F2021%2F0728%2Fr886820_2_1296x729_16-9.jpg | 86c9af17f88af71fd00b4b401c0b1c9fa9a458634a2e736ebedcf8914d38e8d8 | [] | 0 | ball | counting |
https://a1.espncdn.com/combiner/i?img=%2Fphoto%2F2021%2F0728%2Fr886820_2_1296x729_16-9.jpg | 86c9af17f88af71fd00b4b401c0b1c9fa9a458634a2e736ebedcf8914d38e8d8 | [] | 0 | hoop | counting |
87e6107258c91a8cad81f00322d0922b2454df974c3a69a7eb687892cd537266 | [
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},
{
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},
{
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"... | 24 | MOVIES | counting | |
87e6107258c91a8cad81f00322d0922b2454df974c3a69a7eb687892cd537266 | [
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},
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},
{
"x": 1.807,
"... | 24 | TITLES | counting | |
87e6107258c91a8cad81f00322d0922b2454df974c3a69a7eb687892cd537266 | [] | 0 | movie covers on end cut off | counting | |
87e6107258c91a8cad81f00322d0922b2454df974c3a69a7eb687892cd537266 | [
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},
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},
{
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},
{
"x": 44.287,
"y... | 73 | characters | counting | |
87e6107258c91a8cad81f00322d0922b2454df974c3a69a7eb687892cd537266 | [
{
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},
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},
{
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},
{
"x": 39.014,
... | 21 | actor names | counting | |
f45fffc973ae5fbdffa0ac3aba36bcc4d90735641c7025b52fc6c92529b35384 | [
{
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},
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{
"x": 86.502,
"y": 90.168
},
{
"x": 97.524,
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},
{
"x": 97.524,
... | 61 | seats | counting | |
f45fffc973ae5fbdffa0ac3aba36bcc4d90735641c7025b52fc6c92529b35384 | [
{
"x": 0.226,
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},
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{
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"y": 19.832
},
{
"x": 41.273,
"y": 23.609
},
{
"x": 54.483,
"y": ... | 33 | green seats | counting | |
f45fffc973ae5fbdffa0ac3aba36bcc4d90735641c7025b52fc6c92529b35384 | [
{
"x": 97.605,
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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": 52.483,
"y": 12.193
},
{
"x": 71.434,
... | 31 | blue seats | 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.