Model Database's logo

Datasets:
Francesco
/
underwater-pipes-4ng4t

Tasks:
Object Detection
Languages: English
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: found
Annotations Creators: crowdsourced
Source Datasets: original
Tags: rf100
License: cc
Dataset card Files Community
Dataset Viewer
Auto-converted to Parquet
Viewer
image_id
int64
0
5.62k
image
image
width
int32
640
640
height
int32
640
640
objects
sequence
1,787
640
640
{ "id": [ 2724 ], "area": [ 27882 ], "bbox": [ [ 65, 201, 293.5, 95 ] ], "category": [ 1 ] }
1,857
640
640
{ "id": [ 2831, 2832 ], "area": [ 119212, 28500 ], "bbox": [ [ 0, 249, 637.5, 187 ], [ 87, 449, 239.5, 119 ] ], "category": [ 1, 1 ] }
606
640
640
{ "id": [ 938, 939 ], "area": [ 97440, 126650 ], "bbox": [ [ 416, 44, 224, 435 ], [ 89, 184, 372.5, 340 ] ], "category": [ 1, 1 ] }
3,728
640
640
{ "id": [ 5694, 5695 ], "area": [ 64076, 39825 ], "bbox": [ [ 308, 271, 332, 193 ], [ 315, 415, 177, 225 ] ], "category": [ 1, 1 ] }
3,876
640
640
{ "id": [], "area": [], "bbox": [], "category": [] }
3,730
640
640
{ "id": [ 5698 ], "area": [ 59829 ], "bbox": [ [ 190, 330, 388.5, 154 ] ], "category": [ 1 ] }
3,445
640
640
{ "id": [ 5259, 5260 ], "area": [ 97573, 192087 ], "bbox": [ [ 5, 21, 371, 263 ], [ 35, 194, 605, 317.5 ] ], "category": [ 1, 1 ] }
3,878
640
640
{ "id": [ 5928 ], "area": [ 12372 ], "bbox": [ [ 287, 291, 245, 50.5 ] ], "category": [ 1 ] }
2,289
640
640
{ "id": [ 3506, 3507 ], "area": [ 96140, 26146 ], "bbox": [ [ 0, 29, 632.5, 152 ], [ 241, 299, 234.5, 111.5 ] ], "category": [ 1, 1 ] }
2,058
640
640
{ "id": [ 3154, 3155 ], "area": [ 8814, 58531 ], "bbox": [ [ 588, 356, 52, 169.5 ], [ 307, 358, 313, 187 ] ], "category": [ 1, 1 ] }
2,874
640
640
{ "id": [ 4384 ], "area": [ 194922 ], "bbox": [ [ 315, 0, 306, 637 ] ], "category": [ 1 ] }
1,658
640
640
{ "id": [ 2527 ], "area": [ 29111 ], "bbox": [ [ 107, 245, 368.5, 79 ] ], "category": [ 1 ] }
2,954
640
640
{ "id": [ 4500, 4501 ], "area": [ 48636, 272107 ], "bbox": [ [ 0, 101, 504, 96.5 ], [ 0, 214, 639.5, 425.5 ] ], "category": [ 1, 1 ] }
3,189
640
640
{ "id": [ 4863, 4864 ], "area": [ 111360, 15373 ], "bbox": [ [ 168, 0, 174, 640 ], [ 50, 529, 138.5, 111 ] ], "category": [ 1, 1 ] }
5,332
640
640
{ "id": [ 8147 ], "area": [ 74593 ], "bbox": [ [ 154, 446, 384.5, 194 ] ], "category": [ 1 ] }
1,256
640
640
{ "id": [ 1928 ], "area": [ 16639 ], "bbox": [ [ 249, 202, 294.5, 56.5 ] ], "category": [ 1 ] }
1,827
640
640
{ "id": [ 2782 ], "area": [ 56126 ], "bbox": [ [ 374, 328, 266, 211 ] ], "category": [ 1 ] }
693
640
640
{ "id": [ 1071 ], "area": [ 102306 ], "bbox": [ [ 186, 200, 289, 354 ] ], "category": [ 1 ] }
4,894
640
640
{ "id": [ 7512, 7513 ], "area": [ 4440, 86997 ], "bbox": [ [ 593, 176, 46.5, 95.5 ], [ 89, 45, 195.5, 445 ] ], "category": [ 1, 1 ] }
2,399
640
640
{ "id": [ 3670, 3671 ], "area": [ 149440, 6376 ], "bbox": [ [ 0, 236, 640, 233.5 ], [ 0, 479, 117, 54.5 ] ], "category": [ 1, 1 ] }
4,925
640
640
{ "id": [ 7555, 7556, 7557 ], "area": [ 68997, 13157, 55900 ], "bbox": [ [ 184, 253, 357.5, 193 ], [ 0, 17, 223, 59 ], [ 210, 401, 430, 130 ] ], "category": [ 1, 1, 1 ] }
5,560
640
640
{ "id": [ 8507, 8508 ], "area": [ 262095, 128600 ], "bbox": [ [ 0, 4, 580.5, 451.5 ], [ 6, 385, 633.5, 203 ] ], "category": [ 1, 1 ] }
2,028
640
640
{ "id": [ 3104 ], "area": [ 126792 ], "bbox": [ [ 53, 239, 587, 216 ] ], "category": [ 1 ] }
3,546
640
640
{ "id": [ 5408, 5409, 5410 ], "area": [ 18718, 20148, 29700 ], "bbox": [ [ 45, 74, 299.5, 62.5 ], [ 0, 153, 219, 92 ], [ 0, 299, 220, 135 ] ], "category": [ 1, 1, 1 ] }
933
640
640
{ "id": [ 1435 ], "area": [ 92222 ], "bbox": [ [ 110, 214, 498.5, 185 ] ], "category": [ 1 ] }
449
640
640
{ "id": [ 685, 686 ], "area": [ 37723, 26754 ], "bbox": [ [ 323, 356, 317, 119 ], [ 325, 444, 136.5, 196 ] ], "category": [ 1, 1 ] }
2,909
640
640
{ "id": [ 4437 ], "area": [ 108896 ], "bbox": [ [ 0, 260, 532.5, 204.5 ] ], "category": [ 1 ] }
3,229
640
640
{ "id": [ 4919 ], "area": [ 96300 ], "bbox": [ [ 143, 234, 290.5, 331.5 ] ], "category": [ 1 ] }
4,341
640
640
{ "id": [ 6646 ], "area": [ 109089 ], "bbox": [ [ 131, 376, 414, 263.5 ] ], "category": [ 1 ] }
3,000
640
640
{ "id": [ 4573 ], "area": [ 22852 ], "bbox": [ [ 0, 82, 277, 82.5 ] ], "category": [ 1 ] }
1,983
640
640
{ "id": [ 3036, 3037, 3038 ], "area": [ 9108, 82810, 48320 ], "bbox": [ [ 0, 149, 88, 103.5 ], [ 0, 290, 490, 169 ], [ 489, 272, 151, 320 ] ], "category": [ 1, 1, 1 ] }
4,928
640
640
{ "id": [ 7562, 7563 ], "area": [ 106240, 35397 ], "bbox": [ [ 256, 0, 166, 640 ], [ 57, 478, 218.5, 162 ] ], "category": [ 1, 1 ] }
2,444
640
640
{ "id": [ 3746 ], "area": [ 46227 ], "bbox": [ [ 234, 239, 405.5, 114 ] ], "category": [ 1 ] }
2,886
640
640
{ "id": [ 4402 ], "area": [ 31250 ], "bbox": [ [ 184, 122, 365.5, 85.5 ] ], "category": [ 1 ] }
755
640
640
{ "id": [ 1164, 1165 ], "area": [ 9682, 111107 ], "bbox": [ [ 533, 0, 103, 94 ], [ 234, 366, 405.5, 274 ] ], "category": [ 1, 1 ] }
241
640
640
{ "id": [ 358 ], "area": [ 29100 ], "bbox": [ [ 243, 65, 300, 97 ] ], "category": [ 1 ] }
2,369
640
640
{ "id": [ 3624 ], "area": [ 196878 ], "bbox": [ [ 13, 141, 627, 314 ] ], "category": [ 1 ] }
5,565
640
640
{ "id": [ 8514, 8515 ], "area": [ 80640, 8875 ], "bbox": [ [ 0, 230, 640, 126 ], [ 0, 419, 145.5, 61 ] ], "category": [ 1, 1 ] }
1,998
640
640
{ "id": [ 3057 ], "area": [ 38100 ], "bbox": [ [ 386, 100, 254, 150 ] ], "category": [ 1 ] }
3,479
640
640
{ "id": [ 5317, 5318 ], "area": [ 28801, 19040 ], "bbox": [ [ 221, 134, 347, 83 ], [ 0, 480, 119, 160 ] ], "category": [ 1, 1 ] }
1,816
640
640
{ "id": [ 2764, 2765, 2766 ], "area": [ 48720, 175938, 30537 ], "bbox": [ [ 0, 0, 280, 174 ], [ 20, 91, 619.5, 284 ], [ 263, 558, 377, 81 ] ], "category": [ 1, 1, 1 ] }
1,867
640
640
{ "id": [ 2848 ], "area": [ 69275 ], "bbox": [ [ 138, 82, 445.5, 155.5 ] ], "category": [ 1 ] }
1,253
640
640
{ "id": [ 1924, 1925 ], "area": [ 125137, 94400 ], "bbox": [ [ 207, 0, 433, 289 ], [ 0, 250, 640, 147.5 ] ], "category": [ 1, 1 ] }
2,552
640
640
{ "id": [ 3918, 3919 ], "area": [ 50716, 119360 ], "bbox": [ [ 392, 1, 248, 204.5 ], [ 0, 228, 640, 186.5 ] ], "category": [ 1, 1 ] }
3,455
640
640
{ "id": [ 5275, 5276 ], "area": [ 212608, 30837 ], "bbox": [ [ 0, 157, 604, 352 ], [ 553, 166, 86.5, 356.5 ] ], "category": [ 1, 1 ] }
653
640
640
{ "id": [], "area": [], "bbox": [], "category": [] }
1,951
640
640
{ "id": [ 2978 ], "area": [ 18452 ], "bbox": [ [ 168, 166, 335.5, 55 ] ], "category": [ 1 ] }
4,500
640
640
{ "id": [ 6889 ], "area": [ 21136 ], "bbox": [ [ 111, 255, 346.5, 61 ] ], "category": [ 1 ] }
5,013
640
640
{ "id": [ 7675, 7676, 7677 ], "area": [ 17632, 63877, 12809 ], "bbox": [ [ 0, 281, 116, 152 ], [ 0, 501, 501, 127.5 ], [ 483, 503, 93.5, 137 ] ], "category": [ 1, 1, 1 ] }
1,813
640
640
{ "id": [ 2760, 2761 ], "area": [ 48450, 66487 ], "bbox": [ [ 126, 0, 237.5, 204 ], [ 261, 147, 135, 492.5 ] ], "category": [ 1, 1 ] }
571
640
640
{ "id": [ 883, 884 ], "area": [ 57834, 15390 ], "bbox": [ [ 316, 0, 324, 178.5 ], [ 342, 583, 270, 57 ] ], "category": [ 1, 1 ] }
3,975
640
640
{ "id": [ 6066, 6067, 6068 ], "area": [ 8202, 77280, 59925 ], "bbox": [ [ 0, 145, 85, 96.5 ], [ 0, 292, 483, 160 ], [ 470, 287, 170, 352.5 ] ], "category": [ 1, 1, 1 ] }
1,102
640
640
{ "id": [ 1689, 1690, 1691 ], "area": [ 35546, 81795, 51352 ], "bbox": [ [ 0, 47, 140.5, 253 ], [ 25, 170, 615, 133 ], [ 435, 313, 205, 250.5 ] ], "category": [ 1, 1, 1 ] }
363
640
640
{ "id": [ 543, 544 ], "area": [ 5829, 87840 ], "bbox": [ [ 317, 337, 87, 67 ], [ 91, 363, 549, 160 ] ], "category": [ 1, 1 ] }
1,953
640
640
{ "id": [ 2980 ], "area": [ 47250 ], "bbox": [ [ 127, 109, 390.5, 121 ] ], "category": [ 1 ] }
4,911
640
640
{ "id": [ 7537 ], "area": [ 97388 ], "bbox": [ [ 0, 247, 388, 251 ] ], "category": [ 1 ] }
4,037
640
640
{ "id": [ 6159, 6160, 6161 ], "area": [ 6093, 40734, 100719 ], "bbox": [ [ 98, 271, 97.5, 62.5 ], [ 0, 314, 438, 93 ], [ 361, 279, 279, 361 ] ], "category": [ 1, 1, 1 ] }
3,507
640
640
{ "id": [ 5355 ], "area": [ 48789 ], "bbox": [ [ 223, 329, 417, 117 ] ], "category": [ 1 ] }
3,831
640
640
{ "id": [], "area": [], "bbox": [], "category": [] }
2,705
640
640
{ "id": [ 4139, 4140 ], "area": [ 72050, 38445 ], "bbox": [ [ 364, 0, 262, 275 ], [ 407, 194, 233, 165 ] ], "category": [ 1, 1 ] }
2,628
640
640
{ "id": [ 4027 ], "area": [ 105930 ], "bbox": [ [ 105, 140, 535, 198 ] ], "category": [ 1 ] }
475
640
640
{ "id": [ 730 ], "area": [ 35046 ], "bbox": [ [ 66, 267, 396, 88.5 ] ], "category": [ 1 ] }
3,398
640
640
{ "id": [ 5180, 5181 ], "area": [ 33384, 148830 ], "bbox": [ [ 484, 0, 156, 214 ], [ 146, 337, 492, 302.5 ] ], "category": [ 1, 1 ] }
3,466
640
640
{ "id": [ 5294 ], "area": [ 53832 ], "bbox": [ [ 0, 340, 353, 152.5 ] ], "category": [ 1 ] }
3,239
640
640
{ "id": [ 4933, 4934 ], "area": [ 78796, 92208 ], "bbox": [ [ 0, 104, 401, 196.5 ], [ 0, 271, 452, 204 ] ], "category": [ 1, 1 ] }
4,084
640
640
{ "id": [ 6231 ], "area": [ 248960 ], "bbox": [ [ 0, 251, 640, 389 ] ], "category": [ 1 ] }
3,519
640
640
{ "id": [ 5371 ], "area": [ 85459 ], "bbox": [ [ 0, 222, 374, 228.5 ] ], "category": [ 1 ] }
2,937
640
640
{ "id": [ 4475 ], "area": [ 91133 ], "bbox": [ [ 86, 375, 554, 164.5 ] ], "category": [ 1 ] }
467
640
640
{ "id": [ 718 ], "area": [ 111736 ], "bbox": [ [ 0, 183, 244.5, 457 ] ], "category": [ 1 ] }
2,976
640
640
{ "id": [ 4537, 4538, 4539 ], "area": [ 70623, 54740, 11681 ], "bbox": [ [ 141, 74, 266, 265.5 ], [ 180, 246, 460, 119 ], [ 448, 579, 191.5, 61 ] ], "category": [ 1, 1, 1 ] }
3,382
640
640
{ "id": [ 5154 ], "area": [ 118668 ], "bbox": [ [ 178, 170, 319, 372 ] ], "category": [ 1 ] }
3,343
640
640
{ "id": [ 5092 ], "area": [ 128320 ], "bbox": [ [ 0, 70, 640, 200.5 ] ], "category": [ 1 ] }
2,039
640
640
{ "id": [ 3120, 3121 ], "area": [ 44341, 200724 ], "bbox": [ [ 0, 226, 459.5, 96.5 ], [ 0, 251, 516, 389 ] ], "category": [ 1, 1 ] }
3,696
640
640
{ "id": [ 5649, 5650 ], "area": [ 55753, 42066 ], "bbox": [ [ 220, 0, 127, 439 ], [ 0, 427, 342, 123 ] ], "category": [ 1, 1 ] }
1,605
640
640
{ "id": [ 2444 ], "area": [ 16020 ], "bbox": [ [ 0, 90, 267, 60 ] ], "category": [ 1 ] }
2,483
640
640
{ "id": [ 3807 ], "area": [ 123656 ], "bbox": [ [ 112, 184, 328, 377 ] ], "category": [ 1 ] }
2,785
640
640
{ "id": [ 4254 ], "area": [ 117760 ], "bbox": [ [ 299, 0, 184, 640 ] ], "category": [ 1 ] }
4,975
640
640
{ "id": [], "area": [], "bbox": [], "category": [] }
5,402
640
640
{ "id": [ 8257 ], "area": [ 24843 ], "bbox": [ [ 149, 219, 338, 73.5 ] ], "category": [ 1 ] }
4,529
640
640
{ "id": [ 6933 ], "area": [ 57771 ], "bbox": [ [ 385, 413, 254.5, 227 ] ], "category": [ 1 ] }
4,877
640
640
{ "id": [ 7487 ], "area": [ 137994 ], "bbox": [ [ 323, 204, 316.5, 436 ] ], "category": [ 1 ] }
1,070
640
640
{ "id": [ 1643 ], "area": [ 33450 ], "bbox": [ [ 106, 174, 300, 111.5 ] ], "category": [ 1 ] }
2,205
640
640
{ "id": [ 3386, 3387 ], "area": [ 70555, 25288 ], "bbox": [ [ 0, 274, 515, 137 ], [ 0, 512, 218, 116 ] ], "category": [ 1, 1 ] }
2,824
640
640
{ "id": [ 4315, 4316 ], "area": [ 212248, 29094 ], "bbox": [ [ 0, 126, 617, 344 ], [ 562, 126, 78, 373 ] ], "category": [ 1, 1 ] }
1,681
640
640
{ "id": [ 2565 ], "area": [ 171062 ], "bbox": [ [ 65, 275, 575, 297.5 ] ], "category": [ 1 ] }
2,481
640
640
{ "id": [ 3805 ], "area": [ 67500 ], "bbox": [ [ 0, 116, 450, 150 ] ], "category": [ 1 ] }
5,365
640
640
{ "id": [ 8194 ], "area": [ 28132 ], "bbox": [ [ 136, 218, 302.5, 93 ] ], "category": [ 1 ] }
5,566
640
640
{ "id": [ 8516 ], "area": [ 20216 ], "bbox": [ [ 224, 199, 361, 56 ] ], "category": [ 1 ] }
5,355
640
640
{ "id": [ 8179 ], "area": [ 116611 ], "bbox": [ [ 196, 351, 403.5, 289 ] ], "category": [ 1 ] }
4,236
640
640
{ "id": [ 6472, 6473 ], "area": [ 63211, 10290 ], "bbox": [ [ 1, 217, 638.5, 99 ], [ 0, 449, 196, 52.5 ] ], "category": [ 1, 1 ] }
5,409
640
640
{ "id": [ 8268 ], "area": [ 12542 ], "bbox": [ [ 495, 110, 145, 86.5 ] ], "category": [ 1 ] }
1,400
640
640
{ "id": [ 2140 ], "area": [ 22237 ], "bbox": [ [ 196, 221, 339.5, 65.5 ] ], "category": [ 1 ] }
4,768
640
640
{ "id": [ 7314, 7315 ], "area": [ 74017, 138109 ], "bbox": [ [ 199, 72, 347.5, 213 ], [ 226, 221, 413.5, 334 ] ], "category": [ 1, 1 ] }
3,647
640
640
{ "id": [ 5575 ], "area": [ 113988 ], "bbox": [ [ 0, 256, 552, 206.5 ] ], "category": [ 1 ] }
3,867
640
640
{ "id": [], "area": [], "bbox": [], "category": [] }
3,533
640
640
{ "id": [ 5387, 5388 ], "area": [ 81718, 133120 ], "bbox": [ [ 0, 189, 312.5, 261.5 ], [ 0, 319, 640, 208 ] ], "category": [ 1, 1 ] }
1,771
640
640
{ "id": [ 2702 ], "area": [ 30348 ], "bbox": [ [ 237, 90, 299, 101.5 ] ], "category": [ 1 ] }
1,240
640
640
{ "id": [ 1904 ], "area": [ 56581 ], "bbox": [ [ 44, 53, 479.5, 118 ] ], "category": [ 1 ] }
1,928
640
640
{ "id": [ 2946 ], "area": [ 375040 ], "bbox": [ [ 0, 0, 640, 586 ] ], "category": [ 1 ] }
4,222
640
640
{ "id": [ 6453, 6454 ], "area": [ 98280, 28413 ], "bbox": [ [ 172, 224, 468, 210 ], [ 244, 405, 225.5, 126 ] ], "category": [ 1, 1 ] }

Dataset Card for underwater-pipes-4ng4t

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

Dataset Summary

underwater-pipes-4ng4t

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/underwater-pipes-4ng4t

Citation Information 

@misc{ underwater-pipes-4ng4t,
    title = { underwater pipes 4ng4t Dataset },
    type = { Open Source Dataset },
    author = { Roboflow 100 },
    howpublished = { \url{ https://universe.roboflow.com/object-detection/underwater-pipes-4ng4t } },
    url = { https://universe.roboflow.com/object-detection/underwater-pipes-4ng4t },
    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
126
Edit dataset card
Evaluate models HF Leaderboard
Homepage:
universe.roboflow.com
Point of Contact:
francesco.zuppichini@gmail.com
Size of downloaded dataset files:
318 MB
Size of the auto-converted Parquet files:
318 MB
Number of rows:
7,971