image_url stringlengths 35 281 | image_sha256 stringlengths 64 64 | points listlengths 0 20 | count int64 0 20 | label stringlengths 1 94 | collection_method stringclasses 1
value | image imagewidth (px) 80 6k | question stringlengths 95 281 | answer stringlengths 35 128 |
|---|---|---|---|---|---|---|---|---|
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [] | 0 | Person | counting | How many Person are there in the image? Response Example : There are **<number>** of Person in the image. | There are **0** of Person in the image. | ||
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [] | 0 | Couch | counting | How many Couch are there in the image? Response Example : There are **<number>** of Couch in the image. | There are **0** of Couch in the image. | ||
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [] | 0 | Seat | counting | How many Seat are there in the image? Response Example : There are **<number>** of Seat in the image. | There are **0** of Seat in the image. | ||
66870981df4acc5498d422ef709d25044e02b2d866d0ca961d1ce7a404b3df37 | [] | 0 | Person | counting | How many Person are there in the image? Response Example : There are **<number>** of Person in the image. | There are **0** of Person in the image. | ||
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
{
"x": 15,
"y": 19.8
},
{
"x": 16.1,
"y": 14.7
},
{
"x": 20.3,
"y": 12
},
{
"x": 24.5,
"y": 11.3
},
{
"x": 35,
"y": 11.4
}
] | 5 | ladle | counting | How many ladle are there in the image? Response Example : There are **<number>** of ladle in the image. | There are **5** of ladle in the image. | ||
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
{
"x": 16.8,
"y": 28.9
},
{
"x": 19.6,
"y": 25.2
},
{
"x": 22.6,
"y": 25.8
},
{
"x": 25.8,
"y": 24.2
},
{
"x": 34.2,
"y": 25.8
}
] | 5 | ladle handle | counting | How many ladle handle are there in the image? Response Example : There are **<number>** of ladle handle in the image. | There are **5** of ladle handle in the image. | ||
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
{
"x": 14.5,
"y": 20.3
},
{
"x": 16.5,
"y": 15.1
},
{
"x": 19.8,
"y": 12.9
},
{
"x": 24.6,
"y": 10.7
},
{
"x": 29.8,
"y": 24.3
},
{
"x": 35.2,
"y": 11.6
},
{
"x": 36.6,
"y": 25.4
},
{
"x": 41.5,
"y": 10.9
},
{
"x": 4... | 13 | serving utensil | counting | How many serving utensil are there in the image? Response Example : There are **<number>** of serving utensil in the image. | There are **13** of serving utensil in the image. | ||
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [] | 0 | plate | counting | How many plate are there in the image? Response Example : There are **<number>** of plate in the image. | There are **0** of plate in the image. | ||
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [] | 0 | glassware | counting | How many glassware are there in the image? Response Example : There are **<number>** of glassware in the image. | There are **0** of glassware in the image. | ||
9d122b932e93ddbecbeea444049f971dd5d653666e88eed30c84af3ddfb335b0 | [
{
"x": 42.3,
"y": 41.9
},
{
"x": 49.6,
"y": 26.9
},
{
"x": 52.4,
"y": 14.6
},
{
"x": 43.2,
"y": 22.1
},
{
"x": 36.5,
"y": 19.1
},
{
"x": 31,
"y": 18.2
},
{
"x": 26.4,
"y": 16.7
},
{
"x": 19.4,
"y": 14.7
},
{
"x": 13.... | 18 | red card | counting | How many red card are there in the image? Response Example : There are **<number>** of red card in the image. | There are **18** of red card in the image. | ||
9d122b932e93ddbecbeea444049f971dd5d653666e88eed30c84af3ddfb335b0 | [
{
"x": 55.8,
"y": 61.5
},
{
"x": 62.9,
"y": 68.4
},
{
"x": 69.3,
"y": 72.9
},
{
"x": 76.7,
"y": 81.2
},
{
"x": 82.2,
"y": 69.8
},
{
"x": 77.1,
"y": 64.8
},
{
"x": 70.4,
"y": 57.7
},
{
"x": 65.1,
"y": 52.3
},
{
"x": 5... | 15 | green card | counting | How many green card are there in the image? Response Example : There are **<number>** of green card in the image. | There are **15** of green card in the image. | ||
47455a01724052b657703d48265b4de52bf89d89adf36ab4216433f2417720b8 | [
{
"x": 94.15,
"y": 25.741
},
{
"x": 89.45,
"y": 26.852
},
{
"x": 82.75,
"y": 31.852
},
{
"x": 74.75,
"y": 29.815
},
{
"x": 71.15,
"y": 16.296
},
{
"x": 65.85,
"y": 22.222
},
{
"x": 59.25,
"y": 16.667
},
{
"x": 51.25,
"y": 21... | 15 | people | counting | How many people are there in the image? Response Example : There are **<number>** of people in the image. | There are **15** of people in the image. | ||
47455a01724052b657703d48265b4de52bf89d89adf36ab4216433f2417720b8 | [
{
"x": 94.65,
"y": 14.444
},
{
"x": 87.75,
"y": 15.556
},
{
"x": 82.75,
"y": 13.704
},
{
"x": 75.15,
"y": 13.889
},
{
"x": 68.75,
"y": 6.852
},
{
"x": 65.65,
"y": 12.778
},
{
"x": 57.45,
"y": 7.407
},
{
"x": 50.25,
"y": 7.59... | 15 | heads | counting | How many heads are there in the image? Response Example : There are **<number>** of heads in the image. | There are **15** of heads in the image. | ||
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
{
"x": 9.388,
"y": 75.817
},
{
"x": 26.667,
"y": 78.214
},
{
"x": 47.483,
"y": 80.392
},
{
"x": 65.578,
"y": 77.124
},
{
"x": 93.469,
"y": 73.638
}
] | 5 | thumbs | counting | How many thumbs are there in the image? Response Example : There are **<number>** of thumbs in the image. | There are **5** of thumbs in the image. | ||
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
{
"x": 89.932,
"y": 57.081
},
{
"x": 70.612,
"y": 56.209
},
{
"x": 51.429,
"y": 56.427
},
{
"x": 34.558,
"y": 60.784
},
{
"x": 14.014,
"y": 59.477
}
] | 5 | index fingers | counting | How many index fingers are there in the image? Response Example : There are **<number>** of index fingers in the image. | There are **5** of index fingers in the image. | ||
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
{
"x": 9.116,
"y": 68.192
},
{
"x": 29.932,
"y": 61.874
},
{
"x": 48.707,
"y": 56.209
},
{
"x": 66.803,
"y": 56.427
},
{
"x": 86.395,
"y": 54.902
}
] | 5 | middle fingers | counting | How many middle fingers are there in the image? Response Example : There are **<number>** of middle fingers in the image. | There are **5** of middle fingers in the image. | ||
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
{
"x": 4.218,
"y": 84.096
},
{
"x": 23.401,
"y": 82.789
},
{
"x": 42.177,
"y": 66.885
},
{
"x": 58.367,
"y": 60.349
},
{
"x": 78.503,
"y": 59.259
}
] | 5 | pinky fingers | counting | How many pinky fingers are there in the image? Response Example : There are **<number>** of pinky fingers in the image. | There are **5** of pinky fingers in the image. | ||
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [] | 0 | elbows | counting | How many elbows are there in the image? Response Example : There are **<number>** of elbows in the image. | There are **0** of elbows in the image. | ||
54b10e086280c85965092b3ebc947f48be8fdeffa0f8903ae3306d783d702099 | [
{
"x": 63.916,
"y": 95.02
},
{
"x": 91.846,
"y": 69.629
},
{
"x": 92.236,
"y": 54.98
},
{
"x": 77.686,
"y": 55.762
},
{
"x": 65.674,
"y": 54.59
},
{
"x": 51.807,
"y": 54.297
},
{
"x": 36.377,
"y": 54.98
},
{
"x": 64.404,
"y"... | 10 | red circles | counting | How many red circles are there in the image? Response Example : There are **<number>** of red circles in the image. | There are **10** of red circles in the image. | ||
54b10e086280c85965092b3ebc947f48be8fdeffa0f8903ae3306d783d702099 | [] | 0 | pink circles | counting | How many pink circles are there in the image? Response Example : There are **<number>** of pink circles in the image. | There are **0** of pink circles in the image. | ||
fbddec0e72893e0088fcc663e25bbad296b7ae6e48519187b394f931de63f45e | [
{
"x": 81.15,
"y": 35.082
},
{
"x": 67.25,
"y": 46.327
},
{
"x": 68.85,
"y": 21.589
},
{
"x": 62.65,
"y": 11.094
},
{
"x": 42.75,
"y": 34.933
},
{
"x": 16.35,
"y": 38.081
}
] | 6 | people | counting | How many people are there in the image? Response Example : There are **<number>** of people in the image. | There are **6** of people in the image. | ||
fbddec0e72893e0088fcc663e25bbad296b7ae6e48519187b394f931de63f45e | [
{
"x": 68.35,
"y": 20.69
},
{
"x": 63.95,
"y": 25.937
},
{
"x": 61.45,
"y": 6.147
},
{
"x": 39.15,
"y": 11.394
},
{
"x": 14.75,
"y": 14.543
}
] | 5 | heads | counting | How many heads are there in the image? Response Example : There are **<number>** of heads in the image. | There are **5** of heads in the image. | ||
1a282f9a555e75c60c42ccb576cc3b0ee79bd51947785c12fcacdd6d109d6295 | [
{
"x": 72.917,
"y": 80
},
{
"x": 51.25,
"y": 76.5
},
{
"x": 37.917,
"y": 71.333
},
{
"x": 28.083,
"y": 59.5
},
{
"x": 32.583,
"y": 49
},
{
"x": 24.75,
"y": 41.5
},
{
"x": 33.417,
"y": 35.333
},
{
"x": 43.583,
"y": 29.833
}... | 16 | slices | counting | How many slices are there in the image? Response Example : There are **<number>** of slices in the image. | There are **16** of slices in the image. | ||
d0522b6d6fe401243885f1ecf7bb875c32a2462bf176637217acd0792e94bed9 | [
{
"x": 89.625,
"y": 67.239
},
{
"x": 89.292,
"y": 45.277
},
{
"x": 68.708,
"y": 54.749
},
{
"x": 66.875,
"y": 78.168
},
{
"x": 45.792,
"y": 67.135
},
{
"x": 32.292,
"y": 78.793
},
{
"x": 13.375,
"y": 66.511
},
{
"x": 30.458,
... | 15 | shoes | counting | How many shoes are there in the image? Response Example : There are **<number>** of shoes in the image. | There are **15** of shoes in the image. | ||
d0522b6d6fe401243885f1ecf7bb875c32a2462bf176637217acd0792e94bed9 | [
{
"x": 60.542,
"y": 82.852
},
{
"x": 83.542,
"y": 72.235
},
{
"x": 63.792,
"y": 60.578
},
{
"x": 84.625,
"y": 49.961
},
{
"x": 69.542,
"y": 40.177
},
{
"x": 44.458,
"y": 51.002
},
{
"x": 42.208,
"y": 71.819
},
{
"x": 30.458,
... | 15 | shoe holders | counting | How many shoe holders are there in the image? Response Example : There are **<number>** of shoe holders in the image. | There are **15** of shoe holders in the image. | ||
http://www.travelnotesandbeyond.com/wp-content/uploads/2015/09/canstockphoto2239257-2.jpg | 3fdda516d70da478014acaa0a52ca16810ebc443f1595e3a2f4cf544be42bcee | [
{
"x": 66.35,
"y": 79.429
},
{
"x": 89.75,
"y": 77.928
},
{
"x": 81.65,
"y": 51.201
},
{
"x": 53.25,
"y": 33.784
},
{
"x": 41.75,
"y": 52.703
},
{
"x": 29.65,
"y": 18.619
},
{
"x": 21.55,
"y": 39.039
},
{
"x": 9.95,
"y": 16.... | 8 | dogs | counting | How many dogs are there in the image? Response Example : There are **<number>** of dogs in the image. | There are **8** of dogs in the image. | |
http://www.travelnotesandbeyond.com/wp-content/uploads/2015/09/canstockphoto2239257-2.jpg | 3fdda516d70da478014acaa0a52ca16810ebc443f1595e3a2f4cf544be42bcee | [
{
"x": 77.95,
"y": 85.285
},
{
"x": 94.95,
"y": 91.141
},
{
"x": 48.05,
"y": 54.955
},
{
"x": 58.75,
"y": 41.441
},
{
"x": 23.55,
"y": 40.541
},
{
"x": 29.35,
"y": 23.574
},
{
"x": 11.35,
"y": 22.072
}
] | 7 | noses | counting | How many noses are there in the image? Response Example : There are **<number>** of noses in the image. | There are **7** of noses in the image. | |
c0a0b611f55c0bb47e8a625a2da5309364e167a081783a31412d5f2aa8a7e131 | [
{
"x": 69.932,
"y": 76.684
},
{
"x": 55.238,
"y": 79.275
},
{
"x": 37.279,
"y": 67.098
},
{
"x": 31.701,
"y": 40.155
},
{
"x": 40.952,
"y": 37.565
},
{
"x": 50.748,
"y": 13.212
},
{
"x": 63.673,
"y": 29.275
}
] | 7 | shoes | counting | How many shoes are there in the image? Response Example : There are **<number>** of shoes in the image. | There are **7** of shoes in the image. | ||
368d4a815f184f3aa9e936df7dc8c39f84b281dc877c7ef92c59efc5d65f57f1 | [
{
"x": 75.705,
"y": 82.321
},
{
"x": 59.089,
"y": 78.658
},
{
"x": 36.587,
"y": 78.272
},
{
"x": 24.644,
"y": 80.586
},
{
"x": 31.048,
"y": 49.932
},
{
"x": 43.337,
"y": 49.932
},
{
"x": 71.897,
"y": 49.932
},
{
"x": 59.262,
... | 14 | shoes | counting | How many shoes are there in the image? Response Example : There are **<number>** of shoes in the image. | There are **14** of shoes in the image. | ||
368d4a815f184f3aa9e936df7dc8c39f84b281dc877c7ef92c59efc5d65f57f1 | [
{
"x": 77.909,
"y": 27.144
},
{
"x": 66.432,
"y": 27.494
},
{
"x": 54.954,
"y": 25.218
},
{
"x": 44.734,
"y": 25.042
},
{
"x": 30.269,
"y": 22.941
},
{
"x": 19.42,
"y": 23.817
}
] | 6 | shoes on top rack | counting | How many shoes on top rack are there in the image? Response Example : There are **<number>** of shoes on top rack in the image. | There are **6** of shoes on top rack in the image. | ||
16ee998a4d000b48a86c271041838c44b2e6e82d5900bcfb0909761409182679 | [] | 0 | bees | counting | How many bees are there in the image? Response Example : There are **<number>** of bees in the image. | There are **0** of bees in the image. | ||
b2f51e92c701c2ed43dc516f52bc1d0a91dac5e631aec0f5b6262b29393ee07f | [
{
"x": 74.95,
"y": 71.5
},
{
"x": 81.35,
"y": 55
},
{
"x": 82.35,
"y": 42.3
},
{
"x": 75.45,
"y": 33.5
},
{
"x": 59.55,
"y": 33.4
},
{
"x": 51.85,
"y": 32.1
},
{
"x": 44.75,
"y": 32.3
},
{
"x": 37.75,
"y": 35.6
},
{
... | 14 | slices | counting | How many slices are there in the image? Response Example : There are **<number>** of slices in the image. | There are **14** of slices in the image. | ||
d2902777db5640764aec71daf8da583513ab4bd89a54397782f3d10bffd7dfcd | [
{
"x": 88.867,
"y": 64.667
},
{
"x": 79.362,
"y": 58
},
{
"x": 69.336,
"y": 42
},
{
"x": 56.836,
"y": 45.667
},
{
"x": 47.201,
"y": 47.333
},
{
"x": 35.872,
"y": 51.667
},
{
"x": 24.154,
"y": 53
},
{
"x": 11.654,
"y": 55.667... | 8 | containers | counting | How many containers are there in the image? Response Example : There are **<number>** of containers in the image. | There are **8** of containers in the image. | ||
aa3063d921531887a767559891cfc417d566aee68335ac2812d0a3bdf6f870c6 | [
{
"x": 54.141,
"y": 67
},
{
"x": 52.109,
"y": 43.375
},
{
"x": 47.422,
"y": 30.875
},
{
"x": 51.484,
"y": 11
}
] | 4 | signs | counting | How many signs are there in the image? Response Example : There are **<number>** of signs in the image. | There are **4** of signs in the image. | ||
8beb02d0d93f5c7c64579023fd6df237e5465a166c2760e23a320f3ee32259e8 | [
{
"x": 86.75,
"y": 81.019
},
{
"x": 62.65,
"y": 81.019
},
{
"x": 38.55,
"y": 78.056
},
{
"x": 12.85,
"y": 80.185
},
{
"x": 11.05,
"y": 57.685
},
{
"x": 37.75,
"y": 57.222
},
{
"x": 62.55,
"y": 57.963
},
{
"x": 88.65,
"y": 55... | 16 | icons | counting | How many icons are there in the image? Response Example : There are **<number>** of icons in the image. | There are **16** of icons in the image. | ||
7ab11cd66485bcd86cfd9d47a58a1671ec9248c72e193efd11aa45952288c04f | [] | 0 | shoulders | counting | How many shoulders are there in the image? Response Example : There are **<number>** of shoulders in the image. | There are **0** of shoulders in the image. | ||
http://img.pconline.com.cn/images/upload/upc/tx/itbbs/2006/08/c22/213199207_1591624579024.jpg | f6970531bb5477bed066fae66b8e1aecc4c57ebc524da9d1d9d23e77d73de0a5 | [
{
"x": 39.208,
"y": 56.625
},
{
"x": 57.458,
"y": 54.125
},
{
"x": 70.042,
"y": 53.875
},
{
"x": 34.458,
"y": 34.75
}
] | 4 | birds | counting | How many birds are there in the image? Response Example : There are **<number>** of birds in the image. | There are **4** of birds in the image. | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 6.25,
"y": 24.205
},
{
"x": 13.636,
"y": 32.841
},
{
"x": 24.205,
"y": 40.341
},
{
"x": 36.591,
"y": 56.705
},
{
"x": 57.955,
"y": 56.023
},
{
"x": 71.477,
"y": 36.477
},
{
"x": 86.818,
"y": 29.432
},
{
"x": 95.227,
"... | 8 | Man | counting | How many Man are there in the image? Response Example : There are **<number>** of Man in the image. | There are **8** of Man in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 15.114,
"y": 19.659
},
{
"x": 24.659,
"y": 21.932
},
{
"x": 34.545,
"y": 24.432
},
{
"x": 44.886,
"y": 26.705
},
{
"x": 57.045,
"y": 23.75
},
{
"x": 67.614,
"y": 22.614
},
{
"x": 78.864,
"y": 21.932
},
{
"x": 89.432,
... | 9 | White Line | counting | How many White Line are there in the image? Response Example : There are **<number>** of White Line in the image. | There are **9** of White Line in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 2.841,
"y": 89.205
},
{
"x": 20.795,
"y": 88.977
},
{
"x": 28.636,
"y": 90.341
},
{
"x": 45.455,
"y": 90.568
},
{
"x": 65.114,
"y": 90.341
},
{
"x": 80.341,
"y": 92.159
},
{
"x": 98.295,
"y": 92.386
}
] | 7 | Numbers | counting | How many Numbers are there in the image? Response Example : There are **<number>** of Numbers in the image. | There are **7** of Numbers in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.545,
"y": 20.568
},
{
"x": 35.341,
"y": 53.75
},
{
"x": 73.295,
"y": 33.523
},
{
"x": 95.227,
"y": 9.432
}
] | 4 | Blue Shirt | counting | How many Blue Shirt are there in the image? Response Example : There are **<number>** of Blue Shirt in the image. | There are **4** of Blue Shirt in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 14.318,
"y": 34.432
},
{
"x": 24.205,
"y": 39.205
},
{
"x": 34.659,
"y": 55.568
},
{
"x": 57.5,
"y": 53.75
},
{
"x": 71.932,
"y": 36.25
},
{
"x": 96.25,
"y": 10.795
}
] | 6 | Names Of Country | counting | How many Names Of Country are there in the image? Response Example : There are **<number>** of Names Of Country in the image. | There are **6** of Names Of Country in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 47.727,
"y": 9.659
},
{
"x": 46.023,
"y": 4.886
},
{
"x": 63.523,
"y": 12.614
},
{
"x": 66.364,
"y": 4.886
},
{
"x": 77.5,
"y": 6.705
}
] | 5 | White Circles | counting | How many White Circles are there in the image? Response Example : There are **<number>** of White Circles in the image. | There are **5** of White Circles in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 5.114,
"y": 8.977
},
{
"x": 14.432,
"y": 26.023
},
{
"x": 23.977,
"y": 29.205
},
{
"x": 35.568,
"y": 43.523
},
{
"x": 57.386,
"y": 41.705
},
{
"x": 71.591,
"y": 26.023
},
{
"x": 86.364,
"y": 14.432
},
{
"x": 95.341,
"... | 8 | Hair | counting | How many Hair are there in the image? Response Example : There are **<number>** of Hair in the image. | There are **8** of Hair in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.659,
"y": 12.386
},
{
"x": 13.523,
"y": 27.614
},
{
"x": 23.409,
"y": 32.386
},
{
"x": 35.795,
"y": 46.25
},
{
"x": 58.068,
"y": 46.023
},
{
"x": 71.25,
"y": 28.068
},
{
"x": 86.364,
"y": 16.477
},
{
"x": 95.909,
"y... | 8 | Faces | counting | How many Faces are there in the image? Response Example : There are **<number>** of Faces in the image. | There are **8** of Faces in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 3.068,
"y": 22.159
},
{
"x": 8.636,
"y": 20.795
},
{
"x": 10.795,
"y": 37.386
},
{
"x": 17.159,
"y": 36.932
},
{
"x": 20.682,
"y": 37.614
},
{
"x": 26.932,
"y": 42.614
},
{
"x": 30.455,
"y": 53.523
},
{
"x": 40,
"y": ... | 16 | Arms | counting | How many Arms are there in the image? Response Example : There are **<number>** of Arms in the image. | There are **16** of Arms in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 2.386,
"y": 24.886
},
{
"x": 8.295,
"y": 28.068
},
{
"x": 10.795,
"y": 39.659
},
{
"x": 17.614,
"y": 42.159
},
{
"x": 18.523,
"y": 36.932
},
{
"x": 25.114,
"y": 43.977
},
{
"x": 28.75,
"y": 52.159
},
{
"x": 38.295,
"y... | 16 | Hands | counting | How many Hands are there in the image? Response Example : There are **<number>** of Hands in the image. | There are **16** of Hands in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 5.795,
"y": 23.523
},
{
"x": 14.091,
"y": 40.568
},
{
"x": 24.318,
"y": 41.705
},
{
"x": 35.114,
"y": 56.477
},
{
"x": 57.386,
"y": 55.341
},
{
"x": 71.705,
"y": 38.295
},
{
"x": 85.909,
"y": 28.295
},
{
"x": 95.909,
... | 8 | Torso | counting | How many Torso are there in the image? Response Example : There are **<number>** of Torso in the image. | There are **8** of Torso in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.773,
"y": 36.023
},
{
"x": 7.159,
"y": 37.386
},
{
"x": 13.182,
"y": 53.523
},
{
"x": 15.682,
"y": 53.75
},
{
"x": 23.295,
"y": 58.295
},
{
"x": 25.682,
"y": 59.205
},
{
"x": 33.977,
"y": 78.068
},
{
"x": 37.841,
"y... | 16 | Knees | counting | How many Knees are there in the image? Response Example : There are **<number>** of Knees in the image. | There are **16** of Knees in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 5.114,
"y": 40.795
},
{
"x": 7.273,
"y": 36.023
},
{
"x": 13.523,
"y": 58.295
},
{
"x": 15.341,
"y": 51.25
},
{
"x": 23.295,
"y": 59.205
},
{
"x": 34.659,
"y": 75.114
},
{
"x": 37.614,
"y": 74.886
},
{
"x": 26.364,
"y... | 16 | Legs | counting | How many Legs are there in the image? Response Example : There are **<number>** of Legs in the image. | There are **16** of Legs in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.886,
"y": 47.386
},
{
"x": 14.318,
"y": 66.023
},
{
"x": 23.523,
"y": 73.523
},
{
"x": 33.295,
"y": 93.75
},
{
"x": 57.273,
"y": 91.023
},
{
"x": 71.591,
"y": 66.477
},
{
"x": 87.841,
"y": 52.841
},
{
"x": 84.318,
"... | 9 | Shoes | counting | How many Shoes are there in the image? Response Example : There are **<number>** of Shoes in the image. | There are **9** of Shoes in the image. | ||
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [] | 0 | Women | counting | How many Women are there in the image? Response Example : There are **<number>** of Women in the image. | There are **0** of Women in the image. | ||
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 9.25,
"y": 84.463
},
{
"x": 15,
"y": 84.087
},
{
"x": 42.125,
"y": 81.262
},
{
"x": 47.375,
"y": 81.262
},
{
"x": 52,
"y": 80.508
},
{
"x": 57.375,
"y": 80.508
},
{
"x": 63.375,
"y": 80.132
},
{
"x": 68.625,
"y": 79.0... | 11 | Shrubs | counting | How many Shrubs are there in the image? Response Example : There are **<number>** of Shrubs in the image. | There are **11** of Shrubs in the image. | |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 95.125,
"y": 23.258
},
{
"x": 83.625,
"y": 11.77
},
{
"x": 70.25,
"y": 12.335
},
{
"x": 59.75,
"y": 11.205
},
{
"x": 72.75,
"y": 8.757
},
{
"x": 89.125,
"y": 10.64
},
{
"x": 98.25,
"y": 10.452
},
{
"x": 31.75,
"y": 3.... | 12 | Trees | counting | How many Trees are there in the image? Response Example : There are **<number>** of Trees in the image. | There are **12** of Trees in the image. | |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [] | 0 | People | counting | How many People are there in the image? Response Example : There are **<number>** of People in the image. | There are **0** of People in the image. | |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [] | 0 | Animals | counting | How many Animals are there in the image? Response Example : There are **<number>** of Animals in the image. | There are **0** of Animals in the image. | |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 35.625,
"y": 60.452
},
{
"x": 36,
"y": 61.959
},
{
"x": 36.125,
"y": 63.653
},
{
"x": 36.625,
"y": 64.972
}
] | 4 | Numbers | counting | How many Numbers are there in the image? Response Example : There are **<number>** of Numbers in the image. | There are **4** of Numbers in the image. | |
44d3b9554b9f3948d5d690f1481340b1e1870ced729be4ad17ec7a845196a843 | [
{
"x": 51.375,
"y": 24.625
},
{
"x": 53.5,
"y": 38.875
},
{
"x": 50.5,
"y": 54.5
},
{
"x": 50.875,
"y": 65.5
},
{
"x": 51.625,
"y": 72.5
},
{
"x": 51,
"y": 81.75
}
] | 6 | Arrows | counting | How many Arrows are there in the image? Response Example : There are **<number>** of Arrows in the image. | There are **6** of Arrows in the image. | ||
51aafc000141667f1abf8e408cc3f310cf1587b733638e019079a3e092577231 | [] | 0 | Cyclists at rear of race | counting | How many Cyclists at rear of race are there in the image? Response Example : There are **<number>** of Cyclists at rear of race in the image. | There are **0** of Cyclists at rear of race in the image. | ||
f45a33007a9a950ca436e4e643cc5a2977038fcfea0ce7fd93a1b783d712a8d8 | [
{
"x": 25.475,
"y": 26.984
},
{
"x": 24.842,
"y": 31.293
},
{
"x": 24.588,
"y": 35.374
},
{
"x": 24.715,
"y": 38.549
},
{
"x": 24.715,
"y": 43.537
},
{
"x": 27.503,
"y": 47.846
},
{
"x": 27.503,
"y": 64.399
},
{
"x": 25.349,
... | 9 | Folders | counting | How many Folders are there in the image? Response Example : There are **<number>** of Folders in the image. | There are **9** of Folders in the image. | ||
f45a33007a9a950ca436e4e643cc5a2977038fcfea0ce7fd93a1b783d712a8d8 | [
{
"x": 13.435,
"y": 28.118
},
{
"x": 12.928,
"y": 32.653
},
{
"x": 12.928,
"y": 39.456
},
{
"x": 11.534,
"y": 44.218
},
{
"x": 11.28,
"y": 51.02
},
{
"x": 11.28,
"y": 56.463
},
{
"x": 11.66,
"y": 62.812
}
] | 7 | Favorites | counting | How many Favorites are there in the image? Response Example : There are **<number>** of Favorites in the image. | There are **7** of Favorites in the image. | ||
f45a33007a9a950ca436e4e643cc5a2977038fcfea0ce7fd93a1b783d712a8d8 | [
{
"x": 67.807,
"y": 25.397
},
{
"x": 67.427,
"y": 31.519
},
{
"x": 70.342,
"y": 35.374
},
{
"x": 73.131,
"y": 39.002
},
{
"x": 72.117,
"y": 43.764
},
{
"x": 68.695,
"y": 47.846
},
{
"x": 68.061,
"y": 52.608
},
{
"x": 67.554,
... | 12 | Dates modified | counting | How many Dates modified are there in the image? Response Example : There are **<number>** of Dates modified in the image. | There are **12** of Dates modified in the image. | ||
7fb853ac998df0284a4e8a3543e99796cb5f59e235c59d77396bdb2f62d0852f | [
{
"x": 60.979,
"y": 65.501
},
{
"x": 75.385,
"y": 65.967
},
{
"x": 80.699,
"y": 61.072
},
{
"x": 71.049,
"y": 59.907
},
{
"x": 61.678,
"y": 53.38
},
{
"x": 48.392,
"y": 63.403
},
{
"x": 48.252,
"y": 47.319
},
{
"x": 37.343,
... | 15 | Dough pockets | counting | How many Dough pockets are there in the image? Response Example : There are **<number>** of Dough pockets in the image. | There are **15** of Dough pockets in the image. | ||
7fb853ac998df0284a4e8a3543e99796cb5f59e235c59d77396bdb2f62d0852f | [
{
"x": 27.832,
"y": 55.012
},
{
"x": 24.755,
"y": 50.35
},
{
"x": 21.399,
"y": 50.816
},
{
"x": 19.72,
"y": 44.988
},
{
"x": 23.636,
"y": 28.438
},
{
"x": 16.364,
"y": 43.59
},
{
"x": 12.168,
"y": 48.019
},
{
"x": 8.951,
"y"... | 8 | Fingers | counting | How many Fingers are there in the image? Response Example : There are **<number>** of Fingers in the image. | There are **8** of Fingers in the image. | ||
494f83e06aee498f4a7666b1e4a969d4d92257305a973162716d7c8439f0f048 | [] | 0 | Locations after 24 | counting | How many Locations after 24 are there in the image? Response Example : There are **<number>** of Locations after 24 in the image. | There are **0** of Locations after 24 in the image. | ||
494f83e06aee498f4a7666b1e4a969d4d92257305a973162716d7c8439f0f048 | [
{
"x": 44.189,
"y": 55.344
},
{
"x": 61.377,
"y": 65.593
},
{
"x": 52.393,
"y": 78.184
},
{
"x": 73.486,
"y": 61.054
},
{
"x": 82.959,
"y": 68.96
},
{
"x": 85.986,
"y": 91.362
},
{
"x": 83.447,
"y": 92.826
},
{
"x": 84.619,
... | 11 | Restaurants | counting | How many Restaurants are there in the image? Response Example : There are **<number>** of Restaurants in the image. | There are **11** of Restaurants in the image. | ||
http://www.fletcherliving.co.nz/assets/auckland/south-auckland/park-green/park-green-showhome/images/AO-2022-08-01-FLETCHER-LIVING-0033-2__FocusFillWyIwLjAwIiwiMC4wMCIsOTY1LDU1MV0.jpg | 86692d4e38ffb770c68797944439ba74affad27b6b976c03a9a9b19ed8d5cd9a | [
{
"x": 28.808,
"y": 66.606
},
{
"x": 21.244,
"y": 62.25
},
{
"x": 13.368,
"y": 63.521
},
{
"x": 48.808,
"y": 62.613
},
{
"x": 52.332,
"y": 60.799
},
{
"x": 53.472,
"y": 63.884
},
{
"x": 53.886,
"y": 67.514
}
] | 7 | Hangers | counting | How many Hangers are there in the image? Response Example : There are **<number>** of Hangers in the image. | There are **7** of Hangers in the image. | |
1e88b17fcc27ba3fee171d5a23434524a2609a84c35cdd82df4e04478319bb4d | [
{
"x": 59.375,
"y": 82.604
},
{
"x": 26.181,
"y": 63.229
},
{
"x": 43.681,
"y": 51.771
},
{
"x": 48.681,
"y": 42.396
},
{
"x": 33.125,
"y": 43.542
},
{
"x": 18.819,
"y": 21.25
},
{
"x": 11.181,
"y": 20.625
}
] | 7 | Shoes | counting | How many Shoes are there in the image? Response Example : There are **<number>** of Shoes in the image. | There are **7** of Shoes in the image. | ||
1e88b17fcc27ba3fee171d5a23434524a2609a84c35cdd82df4e04478319bb4d | [
{
"x": 87.986,
"y": 66.563
},
{
"x": 88.125,
"y": 64.792
},
{
"x": 89.792,
"y": 68.333
},
{
"x": 50.486,
"y": 40.313
},
{
"x": 49.653,
"y": 40
},
{
"x": 48.681,
"y": 39.896
},
{
"x": 47.569,
"y": 39.375
}
] | 7 | Fingers | counting | How many Fingers are there in the image? Response Example : There are **<number>** of Fingers in the image. | There are **7** of Fingers in the image. | ||
a1b23a0ade15a2103f72cf697735824e3cae75a441e3d8b43afc6d1973309d6c | [
{
"x": 15.792,
"y": 16.663
},
{
"x": 30.792,
"y": 16.774
},
{
"x": 40.208,
"y": 13.441
},
{
"x": 50.292,
"y": 15.107
},
{
"x": 56.042,
"y": 24.772
},
{
"x": 66.458,
"y": 25.105
},
{
"x": 77.458,
"y": 17.885
},
{
"x": 85.958,
... | 8 | Newspaper sections | counting | How many Newspaper sections are there in the image? Response Example : There are **<number>** of Newspaper sections in the image. | There are **8** of Newspaper sections in the image. | ||
5771ab419a79b7e083fcd4ca1c771520b4a23e28623ae38e2771ed8e01599480 | [
{
"x": 46.011,
"y": 85.291
},
{
"x": 46.878,
"y": 75.845
},
{
"x": 46.705,
"y": 69.267
},
{
"x": 45.837,
"y": 62.267
},
{
"x": 45.49,
"y": 55.52
},
{
"x": 44.449,
"y": 50.207
},
{
"x": 46.011,
"y": 45.147
},
{
"x": 45.837,
"... | 18 | Stories in the building, not including the ground floor | counting | How many Stories in the building, not including the ground floor are there in the image? Response Example : There are **<number>** of Stories in the building, not including the ground floor in the image. | There are **18** of Stories in the building, not including the ground floor in the image. | ||
423b5f2d5cb8410cb371cd1bf4bcf35fee3c2067bddc7ed0c5efbcb47ffb7b1f | [] | 0 | Touch screen | counting | How many Touch screen are there in the image? Response Example : There are **<number>** of Touch screen in the image. | There are **0** of Touch screen in the image. | ||
423b5f2d5cb8410cb371cd1bf4bcf35fee3c2067bddc7ed0c5efbcb47ffb7b1f | [
{
"x": 11.31,
"y": 21.133
},
{
"x": 19.048,
"y": 21.333
},
{
"x": 25.476,
"y": 21.133
},
{
"x": 32.976,
"y": 20.733
},
{
"x": 38.69,
"y": 19.333
},
{
"x": 45.595,
"y": 20.133
},
{
"x": 53.095,
"y": 20.333
},
{
"x": 60.476,
"... | 12 | Function keys | counting | How many Function keys are there in the image? Response Example : There are **<number>** of Function keys in the image. | There are **12** of Function keys in the image. | ||
423b5f2d5cb8410cb371cd1bf4bcf35fee3c2067bddc7ed0c5efbcb47ffb7b1f | [] | 0 | Keys highlighted in green | counting | How many Keys highlighted in green are there in the image? Response Example : There are **<number>** of Keys highlighted in green in the image. | There are **0** of Keys highlighted in green in the image. | ||
9153f3bd112ccf18bcaf42435d67490fb5375131d88c7c833322289856a417fc | [] | 0 | Photos of athletes | counting | How many Photos of athletes are there in the image? Response Example : There are **<number>** of Photos of athletes in the image. | There are **0** of Photos of athletes in the image. | ||
9153f3bd112ccf18bcaf42435d67490fb5375131d88c7c833322289856a417fc | [
{
"x": 5.417,
"y": 17.778
},
{
"x": 7.5,
"y": 17.926
},
{
"x": 12.083,
"y": 18.37
},
{
"x": 17.5,
"y": 17.778
},
{
"x": 21.833,
"y": 18.074
},
{
"x": 26.417,
"y": 18.37
},
{
"x": 31.083,
"y": 18.074
},
{
"x": 35,
"y": 17.778... | 15 | Column headers in row 1 | counting | How many Column headers in row 1 are there in the image? Response Example : There are **<number>** of Column headers in row 1 in the image. | There are **15** of Column headers in row 1 in the image. | ||
9153f3bd112ccf18bcaf42435d67490fb5375131d88c7c833322289856a417fc | [] | 0 | Date of birth of the athletes on the spreadsheet | counting | How many Date of birth of the athletes on the spreadsheet are there in the image? Response Example : There are **<number>** of Date of birth of the athletes on the spreadsheet in the image. | There are **0** of Date of birth of the athletes on the spreadsheet in the image. | ||
f60e84d6cc2e8d4944804ca9a356c83e1244e641a86cc0abe58384ed602bbb1f | [] | 0 | cruise ship | counting | How many cruise ship are there in the image? Response Example : There are **<number>** of cruise ship in the image. | There are **0** of cruise ship in the image. | ||
5c9a3c609f364e478aaf6bb99496ef3e26533666ca87bf5edca15b8461d8431e | [
{
"x": 41.074,
"y": 66.943
},
{
"x": 37.322,
"y": 67.239
},
{
"x": 32.78,
"y": 67.536
},
{
"x": 31.201,
"y": 67.536
},
{
"x": 28.633,
"y": 69.313
},
{
"x": 30.213,
"y": 71.979
},
{
"x": 35.15,
"y": 71.682
},
{
"x": 40.679,
"... | 8 | individual stools to set on | counting | How many individual stools to set on are there in the image? Response Example : There are **<number>** of individual stools to set on in the image. | There are **8** of individual stools to set on in the image. | ||
adf2f5381aee04440487b7ccfed09499845674fffc265fde7c1dd10e5a5e20f9 | [] | 0 | chocolate snacks | counting | How many chocolate snacks are there in the image? Response Example : There are **<number>** of chocolate snacks in the image. | There are **0** of chocolate snacks in the image. | ||
adf2f5381aee04440487b7ccfed09499845674fffc265fde7c1dd10e5a5e20f9 | [
{
"x": 26.323,
"y": 5.214
},
{
"x": 68.462,
"y": 27.623
},
{
"x": 13.78,
"y": 22.408
},
{
"x": 21.955,
"y": 41.293
},
{
"x": 30.129,
"y": 33.119
},
{
"x": 81.146,
"y": 35.938
},
{
"x": 90.588,
"y": 39.602
},
{
"x": 81.146,
"... | 11 | fruit snacks | counting | How many fruit snacks are there in the image? Response Example : There are **<number>** of fruit snacks in the image. | There are **11** of fruit snacks in the image. | ||
e15a92bcda632bab0bffc091e655c31bdabfab2fa99ba07f74a08bfa743bd9ab | [
{
"x": 15.918,
"y": 63.424
},
{
"x": 28.613,
"y": 65.37
},
{
"x": 42.09,
"y": 66.796
},
{
"x": 51.367,
"y": 64.591
},
{
"x": 63.477,
"y": 66.537
},
{
"x": 75.977,
"y": 65.24
},
{
"x": 87.695,
"y": 65.37
}
] | 7 | people sitting | counting | How many people sitting are there in the image? Response Example : There are **<number>** of people sitting in the image. | There are **7** of people sitting in the image. | ||
e15a92bcda632bab0bffc091e655c31bdabfab2fa99ba07f74a08bfa743bd9ab | [
{
"x": 22.363,
"y": 23.476
},
{
"x": 89.746,
"y": 39.559
},
{
"x": 82.715,
"y": 38.651
},
{
"x": 73.926,
"y": 38.003
},
{
"x": 39.063,
"y": 37.484
},
{
"x": 31.348,
"y": 37.873
},
{
"x": 25.586,
"y": 38.262
},
{
"x": 17.969,
... | 13 | female | counting | How many female are there in the image? Response Example : There are **<number>** of female in the image. | There are **13** of female in the image. | ||
e15a92bcda632bab0bffc091e655c31bdabfab2fa99ba07f74a08bfa743bd9ab | [
{
"x": 30.078,
"y": 31.518
},
{
"x": 37.5,
"y": 26.459
},
{
"x": 46.973,
"y": 24.514
},
{
"x": 57.227,
"y": 24.125
},
{
"x": 65.137,
"y": 24.384
},
{
"x": 73.34,
"y": 25.94
},
{
"x": 84.668,
"y": 22.957
},
{
"x": 67.285,
"y"... | 15 | males | counting | How many males are there in the image? Response Example : There are **<number>** of males in the image. | There are **15** of males in the image. | ||
e15a92bcda632bab0bffc091e655c31bdabfab2fa99ba07f74a08bfa743bd9ab | [
{
"x": 20.898,
"y": 24.643
},
{
"x": 38.574,
"y": 24.514
},
{
"x": 82.617,
"y": 23.476
},
{
"x": 81.25,
"y": 39.3
},
{
"x": 38.965,
"y": 38.781
},
{
"x": 7.129,
"y": 42.542
}
] | 6 | people with glasses | counting | How many people with glasses are there in the image? Response Example : There are **<number>** of people with glasses in the image. | There are **6** of people with glasses in the image. | ||
e15a92bcda632bab0bffc091e655c31bdabfab2fa99ba07f74a08bfa743bd9ab | [] | 0 | flag | counting | How many flag are there in the image? Response Example : There are **<number>** of flag in the image. | There are **0** of flag in the image. | ||
a65e2d28be5ba91d3159ffa4134a635f38bfe9010b28383cfab28c3d1d6e094f | [] | 0 | Left shoe | counting | How many Left shoe are there in the image? Response Example : There are **<number>** of Left shoe in the image. | There are **0** of Left shoe in the image. | ||
a65e2d28be5ba91d3159ffa4134a635f38bfe9010b28383cfab28c3d1d6e094f | [] | 0 | Soles of shoe | counting | How many Soles of shoe are there in the image? Response Example : There are **<number>** of Soles of shoe in the image. | There are **0** of Soles of shoe in the image. | ||
cb66994f598e8e0becdcdb90ee20a0a0b2942ee42acb9d600f1ea93cb604005f | [] | 0 | Forks | counting | How many Forks are there in the image? Response Example : There are **<number>** of Forks in the image. | There are **0** of Forks in the image. | ||
cb66994f598e8e0becdcdb90ee20a0a0b2942ee42acb9d600f1ea93cb604005f | [] | 0 | Glasses | counting | How many Glasses are there in the image? Response Example : There are **<number>** of Glasses in the image. | There are **0** of Glasses in the image. | ||
17bddcf328d945fe2c005bac59fc76c2ce626425abfae19e6a4158c14b939ae4 | [
{
"x": 80.498,
"y": 85.466
},
{
"x": 22.606,
"y": 79.878
},
{
"x": 3.206,
"y": 77.913
},
{
"x": 40.765,
"y": 85.362
}
] | 4 | metal grates | counting | How many metal grates are there in the image? Response Example : There are **<number>** of metal grates in the image. | There are **4** of metal grates in the image. | ||
17bddcf328d945fe2c005bac59fc76c2ce626425abfae19e6a4158c14b939ae4 | [
{
"x": 68.82,
"y": 42.252
},
{
"x": 80.276,
"y": 42.946
},
{
"x": 50.521,
"y": 41.558
},
{
"x": 2.764,
"y": 14.481
}
] | 4 | sides of building | counting | How many sides of building are there in the image? Response Example : There are **<number>** of sides of building in the image. | There are **4** of sides of building in the image. | ||
17bddcf328d945fe2c005bac59fc76c2ce626425abfae19e6a4158c14b939ae4 | [
{
"x": 94.191,
"y": 48.83
},
{
"x": 84.625,
"y": 35.028
},
{
"x": 78.057,
"y": 17.514
},
{
"x": 13.664,
"y": 9.804
}
] | 4 | clouds | counting | How many clouds are there in the image? Response Example : There are **<number>** of clouds in the image. | There are **4** of clouds in the image. | ||
17bddcf328d945fe2c005bac59fc76c2ce626425abfae19e6a4158c14b939ae4 | [] | 0 | people | counting | How many people are there in the image? Response Example : There are **<number>** of people in the image. | There are **0** of people in the image. | ||
17bddcf328d945fe2c005bac59fc76c2ce626425abfae19e6a4158c14b939ae4 | [] | 0 | rest of cars | counting | How many rest of cars are there in the image? Response Example : There are **<number>** of rest of cars in the image. | There are **0** of rest of cars in the image. | ||
17bddcf328d945fe2c005bac59fc76c2ce626425abfae19e6a4158c14b939ae4 | [] | 0 | ground | counting | How many ground are there in the image? Response Example : There are **<number>** of ground in the image. | There are **0** of ground in the image. | ||
c51a5a53146d6aa470da9323eacb4e7d307b95f92d487e685ddae4cd0ac3ddc4 | [
{
"x": 43.213,
"y": 65.125
},
{
"x": 55.029,
"y": 56.707
},
{
"x": 43.018,
"y": 44.403
},
{
"x": 66.943,
"y": 30.712
},
{
"x": 38.428,
"y": 14.709
}
] | 5 | signs | counting | How many signs are there in the image? Response Example : There are **<number>** of signs in the image. | There are **5** of signs in the image. | ||
c51a5a53146d6aa470da9323eacb4e7d307b95f92d487e685ddae4cd0ac3ddc4 | [] | 0 | distance to locations | counting | How many distance to locations are there in the image? Response Example : There are **<number>** of distance to locations in the image. | There are **0** of distance to locations in the image. | ||
c51a5a53146d6aa470da9323eacb4e7d307b95f92d487e685ddae4cd0ac3ddc4 | [
{
"x": 35.889,
"y": 66.605
},
{
"x": 62.354,
"y": 53.469
},
{
"x": 33.35,
"y": 39.778
},
{
"x": 61.084,
"y": 27.475
},
{
"x": 29.15,
"y": 14.709
}
] | 5 | locations | counting | How many locations are there in the image? Response Example : There are **<number>** of locations in the image. | There are **5** of locations in the image. | ||
c51a5a53146d6aa470da9323eacb4e7d307b95f92d487e685ddae4cd0ac3ddc4 | [
{
"x": 50.83,
"y": 67.345
},
{
"x": 49.072,
"y": 54.209
},
{
"x": 49.951,
"y": 43.293
},
{
"x": 50.244,
"y": 24.699
},
{
"x": 50.635,
"y": 17.021
}
] | 5 | blue areas on pole | counting | How many blue areas on pole are there in the image? Response Example : There are **<number>** of blue areas on pole in the image. | There are **5** of blue areas on pole in the image. |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 7