Datasets:

Francesco
/

thermal-dogs-and-people-x6ejw

image_id int64 0 141	width int32 640 640	height int32 640 640	objects sequence
125	640	640	{ "id": [], "area": [], "bbox": [], "category": [] }
27	640	640	{ "id": [ 33 ], "area": [ 268580 ], "bbox": [ [ 2, 145, 551.5, 487 ] ], "category": [ 1 ] }
36	640	640	{ "id": [ 46 ], "area": [ 156527 ], "bbox": [ [ 42, 148, 379, 413 ] ], "category": [ 1 ] }
28	640	640	{ "id": [ 34, 35 ], "area": [ 49383, 135549 ], "bbox": [ [ 373, 354, 177, 279 ], [ 215, 5, 215.5, 629 ] ], "category": [ 1, 2 ] }
81	640	640	{ "id": [ 101, 102 ], "area": [ 128644, 52893 ], "bbox": [ [ 146, 14, 208.5, 617 ], [ 278, 371, 201.5, 262.5 ] ], "category": [ 2, 1 ] }
38	640	640	{ "id": [ 48 ], "area": [ 312360 ], "bbox": [ [ 0, 60, 548, 570 ] ], "category": [ 1 ] }
90	640	640	{ "id": [ 113, 114, 115 ], "area": [ 12756, 11523, 14536 ], "bbox": [ [ 409, 189, 78.5, 162.5 ], [ 327, 185, 69, 167 ], [ 256, 176, 79, 184 ] ], "category": [ 2, 2, 2 ] }
21	640	640	{ "id": [ 25 ], "area": [ 27963 ], "bbox": [ [ 391, 285, 117, 239 ] ], "category": [ 1 ] }
91	640	640	{ "id": [ 116, 117 ], "area": [ 2419, 2070 ], "bbox": [ [ 497, 320, 41, 59 ], [ 468, 322, 34.5, 60 ] ], "category": [ 2, 2 ] }
131	640	640	{ "id": [], "area": [], "bbox": [], "category": [] }
37	640	640	{ "id": [ 47 ], "area": [ 178893 ], "bbox": [ [ 159, 182, 429, 417 ] ], "category": [ 1 ] }
56	640	640	{ "id": [ 68 ], "area": [ 5353 ], "bbox": [ [ 543, 308, 43, 124.5 ] ], "category": [ 2 ] }
24	640	640	{ "id": [ 28 ], "area": [ 284917 ], "bbox": [ [ 33, 137, 567, 502.5 ] ], "category": [ 1 ] }
121	640	640	{ "id": [], "area": [], "bbox": [], "category": [] }
55	640	640	{ "id": [ 66, 67 ], "area": [ 82215, 212951 ], "bbox": [ [ 466, 1, 174, 472.5 ], [ 120, 222, 517.5, 411.5 ] ], "category": [ 2, 1 ] }
32	640	640	{ "id": [ 39, 40 ], "area": [ 56437, 130833 ], "bbox": [ [ 291, 332, 187.5, 301 ], [ 148, 5, 208.5, 627.5 ] ], "category": [ 1, 2 ] }
135	640	640	{ "id": [ 173, 174 ], "area": [ 68493, 26736 ], "bbox": [ [ 420, 11, 144.5, 474 ], [ 376, 337, 96, 278.5 ] ], "category": [ 2, 1 ] }
48	640	640	{ "id": [ 58 ], "area": [ 250277 ], "bbox": [ [ 107, 94, 479, 522.5 ] ], "category": [ 1 ] }
97	640	640	{ "id": [ 125, 126 ], "area": [ 39905, 29398 ], "bbox": [ [ 472, 120, 115.5, 345.5 ], [ 316, 332, 139, 211.5 ] ], "category": [ 2, 1 ] }
134	640	640	{ "id": [], "area": [], "bbox": [], "category": [] }
42	640	640	{ "id": [ 52 ], "area": [ 1203 ], "bbox": [ [ 442, 377, 29, 41.5 ] ], "category": [ 2 ] }
113	640	640	{ "id": [ 150 ], "area": [ 317078 ], "bbox": [ [ 8, 129, 628.5, 504.5 ] ], "category": [ 1 ] }
14	640	640	{ "id": [ 17 ], "area": [ 76072 ], "bbox": [ [ 109, 55, 131.5, 578.5 ] ], "category": [ 2 ] }
30	640	640	{ "id": [ 37 ], "area": [ 189661 ], "bbox": [ [ 259, 40, 334.5, 567 ] ], "category": [ 1 ] }
117	640	640	{ "id": [ 156, 157 ], "area": [ 2656, 2062 ], "bbox": [ [ 392, 317, 41.5, 64 ], [ 365, 321, 33, 62.5 ] ], "category": [ 2, 2 ] }
54	640	640	{ "id": [ 65 ], "area": [ 4177 ], "bbox": [ [ 543, 283, 38.5, 108.5 ] ], "category": [ 2 ] }
43	640	640	{ "id": [ 53 ], "area": [ 221430 ], "bbox": [ [ 105, 149, 484, 457.5 ] ], "category": [ 1 ] }
94	640	640	{ "id": [ 120, 121 ], "area": [ 44356, 29347 ], "bbox": [ [ 495, 99, 117.5, 377.5 ], [ 357, 312, 129, 227.5 ] ], "category": [ 2, 1 ] }
78	640	640	{ "id": [ 97, 98 ], "area": [ 5293, 6578 ], "bbox": [ [ 477, 134, 38.5, 137.5 ], [ 431, 143, 47.5, 138.5 ] ], "category": [ 2, 2 ] }
126	640	640	{ "id": [ 164 ], "area": [ 167842 ], "bbox": [ [ 109, 145, 402.5, 417 ] ], "category": [ 1 ] }
52	640	640	{ "id": [ 62 ], "area": [ 292706 ], "bbox": [ [ 1, 129, 582.5, 502.5 ] ], "category": [ 1 ] }
118	640	640	{ "id": [ 158, 159 ], "area": [ 56682, 192397 ], "bbox": [ [ 438, 0, 201, 282 ], [ 123, 200, 503, 382.5 ] ], "category": [ 2, 1 ] }
82	640	640	{ "id": [ 103 ], "area": [ 265990 ], "bbox": [ [ 149, 90, 484.5, 549 ] ], "category": [ 2 ] }
93	640	640	{ "id": [ 119 ], "area": [ 184659 ], "bbox": [ [ 81, 152, 445.5, 414.5 ] ], "category": [ 1 ] }
69	640	640	{ "id": [ 83 ], "area": [ 193765 ], "bbox": [ [ 71, 138, 463, 418.5 ] ], "category": [ 1 ] }
96	640	640	{ "id": [ 123, 124 ], "area": [ 95985, 71089 ], "bbox": [ [ 408, 2, 202.5, 474 ], [ 205, 251, 194.5, 365.5 ] ], "category": [ 2, 1 ] }
111	640	640	{ "id": [ 147, 148 ], "area": [ 12964, 8940 ], "bbox": [ [ 354, 222, 64.5, 201 ], [ 299, 240, 60, 149 ] ], "category": [ 2, 2 ] }
63	640	640	{ "id": [ 76 ], "area": [ 10740 ], "bbox": [ [ 499, 300, 60, 179 ] ], "category": [ 2 ] }
68	640	640	{ "id": [ 82 ], "area": [ 201195 ], "bbox": [ [ 91, 169, 526, 382.5 ] ], "category": [ 1 ] }
99	640	640	{ "id": [ 129 ], "area": [ 223196 ], "bbox": [ [ 240, 49, 397.5, 561.5 ] ], "category": [ 1 ] }
1	640	640	{ "id": [ 0, 1 ], "area": [ 1650, 1363 ], "bbox": [ [ 405, 308, 27.5, 60 ], [ 379, 317, 29, 47 ] ], "category": [ 2, 2 ] }
114	640	640	{ "id": [ 151 ], "area": [ 5582 ], "bbox": [ [ 380, 275, 68.5, 81.5 ] ], "category": [ 1 ] }
11	640	640	{ "id": [ 10, 11 ], "area": [ 114810, 107730 ], "bbox": [ [ 346, 2, 222.5, 516 ], [ 151, 234, 270, 399 ] ], "category": [ 2, 1 ] }
9	640	640	{ "id": [ 8 ], "area": [ 210990 ], "bbox": [ [ 91, 146, 541, 390 ] ], "category": [ 1 ] }
19	640	640	{ "id": [ 23 ], "area": [ 7102 ], "bbox": [ [ 348, 331, 106, 67 ] ], "category": [ 1 ] }
10	640	640	{ "id": [ 9 ], "area": [ 173986 ], "bbox": [ [ 140, 178, 384.5, 452.5 ] ], "category": [ 1 ] }
3	640	640	{ "id": [ 2 ], "area": [ 9098 ], "bbox": [ [ 458, 263, 72.5, 125.5 ] ], "category": [ 2 ] }
101	640	640	{ "id": [ 132, 133 ], "area": [ 31557, 48336 ], "bbox": [ [ 342, 394, 134, 235.5 ], [ 145, 46, 106, 456 ] ], "category": [ 1, 2 ] }
85	640	640	{ "id": [ 107 ], "area": [ 266908 ], "bbox": [ [ 26, 151, 581.5, 459 ] ], "category": [ 1 ] }
7	640	640	{ "id": [], "area": [], "bbox": [], "category": [] }
100	640	640	{ "id": [ 130, 131 ], "area": [ 123013, 53550 ], "bbox": [ [ 63, 2, 211, 583 ], [ 297, 335, 180, 297.5 ] ], "category": [ 2, 1 ] }
132	640	640	{ "id": [ 171 ], "area": [ 232764 ], "bbox": [ [ 66, 63, 476, 489 ] ], "category": [ 1 ] }
8	640	640	{ "id": [ 7 ], "area": [ 186966 ], "bbox": [ [ 229, 40, 331.5, 564 ] ], "category": [ 1 ] }
104	640	640	{ "id": [ 136 ], "area": [ 69936 ], "bbox": [ [ 10, 263, 376, 186 ] ], "category": [ 1 ] }
87	640	640	{ "id": [ 110 ], "area": [ 225547 ], "bbox": [ [ 132, 140, 457.5, 493 ] ], "category": [ 1 ] }
112	640	640	{ "id": [ 149 ], "area": [ 151360 ], "bbox": [ [ 39, 122, 320, 473 ] ], "category": [ 1 ] }
49	640	640	{ "id": [ 59, 60 ], "area": [ 46842, 28726 ], "bbox": [ [ 254, 34, 102.5, 457 ], [ 465, 382, 122.5, 234.5 ] ], "category": [ 2, 1 ] }
66	640	640	{ "id": [ 80 ], "area": [ 3540 ], "bbox": [ [ 275, 251, 48.5, 73 ] ], "category": [ 1 ] }
116	640	640	{ "id": [ 154, 155 ], "area": [ 36946, 23850 ], "bbox": [ [ 288, 2, 91, 406 ], [ 400, 292, 100, 238.5 ] ], "category": [ 2, 1 ] }
79	640	640	{ "id": [ 99 ], "area": [ 210842 ], "bbox": [ [ 51, 182, 467.5, 451 ] ], "category": [ 1 ] }
20	640	640	{ "id": [ 24 ], "area": [ 9163 ], "bbox": [ [ 454, 297, 74.5, 123 ] ], "category": [ 2 ] }
53	640	640	{ "id": [ 63, 64 ], "area": [ 4506, 7738 ], "bbox": [ [ 434, 255, 51.5, 87.5 ], [ 366, 241, 75.5, 102.5 ] ], "category": [ 2, 2 ] }
6	640	640	{ "id": [ 6 ], "area": [ 30038 ], "bbox": [ [ 194, 218, 165.5, 181.5 ] ], "category": [ 1 ] }
0	640	640	{ "id": [], "area": [], "bbox": [], "category": [] }
44	640	640	{ "id": [ 54 ], "area": [ 278156 ], "bbox": [ [ 25, 142, 562.5, 494.5 ] ], "category": [ 2 ] }
12	640	640	{ "id": [ 12, 13 ], "area": [ 5261, 8720 ], "bbox": [ [ 415, 280, 57.5, 91.5 ], [ 338, 274, 81.5, 107 ] ], "category": [ 2, 2 ] }
31	640	640	{ "id": [ 38 ], "area": [ 45512 ], "bbox": [ [ 434, 191, 137.5, 331 ] ], "category": [ 1 ] }
74	640	640	{ "id": [ 90, 91 ], "area": [ 59052, 127146 ], "bbox": [ [ 266, 333, 197.5, 299 ], [ 135, 2, 201.5, 631 ] ], "category": [ 1, 2 ] }
76	640	640	{ "id": [ 94, 95 ], "area": [ 7665, 8850 ], "bbox": [ [ 103, 148, 52.5, 146 ], [ 42, 160, 60, 147.5 ] ], "category": [ 2, 2 ] }
136	640	640	{ "id": [ 175 ], "area": [ 55297 ], "bbox": [ [ 328, 5, 121, 457 ] ], "category": [ 2 ] }
4	640	640	{ "id": [ 3, 4 ], "area": [ 8700, 9775 ], "bbox": [ [ 426, 163, 50, 174 ], [ 360, 172, 57, 171.5 ] ], "category": [ 2, 2 ] }
115	640	640	{ "id": [ 152, 153 ], "area": [ 8721, 10091 ], "bbox": [ [ 429, 166, 54, 161.5 ], [ 363, 177, 58.5, 172.5 ] ], "category": [ 2, 2 ] }
83	640	640	{ "id": [ 104 ], "area": [ 2970 ], "bbox": [ [ 220, 307, 30, 99 ] ], "category": [ 2 ] }
25	640	640	{ "id": [ 29, 30 ], "area": [ 86229, 212936 ], "bbox": [ [ 311, 337, 286, 301.5 ], [ 59, 19, 344, 619 ] ], "category": [ 1, 2 ] }
127	640	640	{ "id": [ 165 ], "area": [ 7271 ], "bbox": [ [ 512, 294, 52.5, 138.5 ] ], "category": [ 2 ] }
33	640	640	{ "id": [ 41 ], "area": [ 31351 ], "bbox": [ [ 329, 263, 107, 293 ] ], "category": [ 1 ] }
130	640	640	{ "id": [ 170 ], "area": [ 311225 ], "bbox": [ [ 0, 103, 590, 527.5 ] ], "category": [ 1 ] }
39	640	640	{ "id": [ 49 ], "area": [ 211003 ], "bbox": [ [ 14, 183, 489, 431.5 ] ], "category": [ 1 ] }
80	640	640	{ "id": [ 100 ], "area": [ 2281 ], "bbox": [ [ 489, 192, 27, 84.5 ] ], "category": [ 2 ] }
105	640	640	{ "id": [ 137, 138 ], "area": [ 29218, 34903 ], "bbox": [ [ 342, 325, 137.5, 212.5 ], [ 499, 136, 104.5, 334 ] ], "category": [ 1, 2 ] }
40	640	640	{ "id": [ 50 ], "area": [ 137025 ], "bbox": [ [ 140, 88, 406, 337.5 ] ], "category": [ 1 ] }
128	640	640	{ "id": [ 166, 167 ], "area": [ 3906, 4972 ], "bbox": [ [ 380, 91, 31.5, 124 ], [ 340, 102, 39, 127.5 ] ], "category": [ 2, 2 ] }
71	640	640	{ "id": [ 86, 87 ], "area": [ 56388, 34743 ], "bbox": [ [ 391, 20, 127, 444 ], [ 389, 306, 127.5, 272.5 ] ], "category": [ 2, 1 ] }
72	640	640	{ "id": [ 88 ], "area": [ 31125 ], "bbox": [ [ 359, 237, 124.5, 250 ] ], "category": [ 1 ] }
59	640	640	{ "id": [ 71, 72 ], "area": [ 29480, 72513 ], "bbox": [ [ 380, 317, 134, 220 ], [ 475, 34, 161.5, 449 ] ], "category": [ 1, 2 ] }
51	640	640	{ "id": [ 61 ], "area": [ 24565 ], "bbox": [ [ 385, 283, 103, 238.5 ] ], "category": [ 1 ] }
35	640	640	{ "id": [ 43, 44, 45 ], "area": [ 6496, 10812, 6149 ], "bbox": [ [ 371, 454, 56, 116 ], [ 346, 376, 62.5, 173 ], [ 551, 411, 43, 143 ] ], "category": [ 2, 2, 2 ] }
110	640	640	{ "id": [ 145, 146 ], "area": [ 40035, 43972 ], "bbox": [ [ 454, 360, 170, 235.5 ], [ 249, 9, 97.5, 451 ] ], "category": [ 1, 2 ] }
5	640	640	{ "id": [ 5 ], "area": [ 254141 ], "bbox": [ [ 49, 72, 457.5, 555.5 ] ], "category": [ 1 ] }
77	640	640	{ "id": [ 96 ], "area": [ 232531 ], "bbox": [ [ 60, 98, 437.5, 531.5 ] ], "category": [ 1 ] }
34	640	640	{ "id": [ 42 ], "area": [ 243639 ], "bbox": [ [ 2, 126, 481.5, 506 ] ], "category": [ 1 ] }
41	640	640	{ "id": [ 51 ], "area": [ 6656 ], "bbox": [ [ 409, 171, 64, 104 ] ], "category": [ 2 ] }
70	640	640	{ "id": [ 84, 85 ], "area": [ 7081, 7520 ], "bbox": [ [ 268, 209, 51.5, 137.5 ], [ 212, 214, 55.5, 135.5 ] ], "category": [ 2, 2 ] }
103	640	640	{ "id": [ 135 ], "area": [ 309942 ], "bbox": [ [ 2, 132, 623, 497.5 ] ], "category": [ 1 ] }
133	640	640	{ "id": [ 172 ], "area": [ 3300 ], "bbox": [ [ 188, 331, 50, 66 ] ], "category": [ 1 ] }
107	640	640	{ "id": [ 140, 141 ], "area": [ 9318, 12627 ], "bbox": [ [ 448, 214, 52.5, 177.5 ], [ 385, 203, 61, 207 ] ], "category": [ 2, 2 ] }
89	640	640	{ "id": [ 112 ], "area": [ 179578 ], "bbox": [ [ 85, 231, 444.5, 404 ] ], "category": [ 1 ] }
120	640	640	{ "id": [ 160 ], "area": [ 254589 ], "bbox": [ [ 42, 159, 564.5, 451 ] ], "category": [ 1 ] }
92	640	640	{ "id": [ 118 ], "area": [ 3442 ], "bbox": [ [ 169, 345, 51, 67.5 ] ], "category": [ 1 ] }
138	640	640	{ "id": [ 176, 177 ], "area": [ 5124, 7068 ], "bbox": [ [ 451, 245, 56, 91.5 ], [ 388, 238, 67, 105.5 ] ], "category": [ 2, 2 ] }

End of preview. Expand in Dataset Viewer.

Dataset Card for thermal-dogs-and-people-x6ejw

** The original COCO dataset is stored at dataset.tar.gz**

Dataset Summary

thermal-dogs-and-people-x6ejw

Supported Tasks and Leaderboards

object-detection: The dataset can be used to train a model for Object Detection.

Languages

English

Dataset Structure

Data Instances

A data point comprises an image and its object annotations.

{
  'image_id': 15,
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x640 at 0x2373B065C18>,
  'width': 964043,
  'height': 640,
  'objects': {
    'id': [114, 115, 116, 117], 
    'area': [3796, 1596, 152768, 81002],
    'bbox': [
      [302.0, 109.0, 73.0, 52.0],
      [810.0, 100.0, 57.0, 28.0],
      [160.0, 31.0, 248.0, 616.0],
      [741.0, 68.0, 202.0, 401.0]
    ], 
    'category': [4, 4, 0, 0]
  }
}

Data Fields

image: the image id
image: PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0]
width: the image width
height: the image height
objects: a dictionary containing bounding box metadata for the objects present on the image
- id: the annotation id
- area: the area of the bounding box
- bbox: the object's bounding box (in the coco format)
- category: the object's category.

Who are the annotators?

Annotators are Roboflow users

Additional Information

Licensing Information

See original homepage https://universe.roboflow.com/object-detection/thermal-dogs-and-people-x6ejw

Citation Information

@misc{ thermal-dogs-and-people-x6ejw,
    title = { thermal dogs and people x6ejw Dataset },
    type = { Open Source Dataset },
    author = { Roboflow 100 },
    howpublished = { \url{ https://universe.roboflow.com/object-detection/thermal-dogs-and-people-x6ejw } },
    url = { https://universe.roboflow.com/object-detection/thermal-dogs-and-people-x6ejw },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-03-29 },
}"

Contributions

Thanks to @mariosasko for adding this dataset.

Downloads last month: 0

Edit dataset card

Homepage:

universe.roboflow.com

Point of Contact:

francesco.zuppichini@gmail.com

Size of downloaded dataset files:

8.6 MB

Size of the auto-converted Parquet files:

8.6 MB

Number of rows:

203