Hugging Face's logo

Datasets:
Francesco
/
furniture-ngpea

Tasks:
Object Detection
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
rf100
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
Dataset Viewer
Auto-converted to Parquet
Full Screen
Search is not available for this dataset
image_id
int64
0
453
image
imagewidth (px)
640
640
width
int32
640
640
height
int32
640
640
objects
sequence
406
640
640
{ "id": [ 406 ], "area": [ 219402 ], "bbox": [ [ 142, 16, 372.5, 589 ] ], "category": [ 1 ] }
164
640
640
{ "id": [ 164 ], "area": [ 28743 ], "bbox": [ [ 268, 257, 143, 201 ] ], "category": [ 1 ] }
329
640
640
{ "id": [ 329 ], "area": [ 206784 ], "bbox": [ [ 42, 104, 548.5, 377 ] ], "category": [ 2 ] }
379
640
640
{ "id": [ 379 ], "area": [ 230545 ], "bbox": [ [ 2, 119, 490, 470.5 ] ], "category": [ 2 ] }
60
640
640
{ "id": [ 60 ], "area": [ 207142 ], "bbox": [ [ 25, 210, 583.5, 355 ] ], "category": [ 2 ] }
206
640
640
{ "id": [ 206 ], "area": [ 213527 ], "bbox": [ [ 49, 103, 536.5, 398 ] ], "category": [ 2 ] }
16
640
640
{ "id": [ 16 ], "area": [ 45283 ], "bbox": [ [ 224, 263, 173.5, 261 ] ], "category": [ 1 ] }
199
640
640
{ "id": [ 199 ], "area": [ 204658 ], "bbox": [ [ 77, 130, 501, 408.5 ] ], "category": [ 3 ] }
437
640
640
{ "id": [ 437 ], "area": [ 40670 ], "bbox": [ [ 176, 239, 166, 245 ] ], "category": [ 1 ] }
380
640
640
{ "id": [ 380 ], "area": [ 217125 ], "bbox": [ [ 29, 138, 579, 375 ] ], "category": [ 2 ] }
183
640
640
{ "id": [ 183 ], "area": [ 162459 ], "bbox": [ [ 172, 49, 297, 547 ] ], "category": [ 1 ] }
4
640
640
{ "id": [ 4 ], "area": [ 195113 ], "bbox": [ [ 12, 193, 615.5, 317 ] ], "category": [ 2 ] }
52
640
640
{ "id": [ 52 ], "area": [ 61123 ], "bbox": [ [ 147, 212, 211.5, 289 ] ], "category": [ 1 ] }
322
640
640
{ "id": [ 322 ], "area": [ 127239 ], "bbox": [ [ 51, 212, 533.5, 238.5 ] ], "category": [ 2 ] }
56
640
640
{ "id": [ 56 ], "area": [ 179208 ], "bbox": [ [ 22, 211, 589.5, 304 ] ], "category": [ 2 ] }
408
640
640
{ "id": [ 408 ], "area": [ 31827 ], "bbox": [ [ 238, 282, 145, 219.5 ] ], "category": [ 1 ] }
263
640
640
{ "id": [ 263 ], "area": [ 145200 ], "bbox": [ [ 186, 103, 279.5, 519.5 ] ], "category": [ 1 ] }
204
640
640
{ "id": [ 204 ], "area": [ 196911 ], "bbox": [ [ 16, 129, 561, 351 ] ], "category": [ 2 ] }
336
640
640
{ "id": [ 336 ], "area": [ 194590 ], "bbox": [ [ 11, 153, 610, 319 ] ], "category": [ 2 ] }
87
640
640
{ "id": [ 87 ], "area": [ 124377 ], "bbox": [ [ 48, 281, 559, 222.5 ] ], "category": [ 2 ] }
333
640
640
{ "id": [ 333 ], "area": [ 225069 ], "bbox": [ [ 147, 67, 398, 565.5 ] ], "category": [ 1 ] }
202
640
640
{ "id": [ 202 ], "area": [ 202693 ], "bbox": [ [ 87, 216, 512.5, 395.5 ] ], "category": [ 3 ] }
160
640
640
{ "id": [ 160 ], "area": [ 209935 ], "bbox": [ [ 27, 178, 605, 347 ] ], "category": [ 3 ] }
276
640
640
{ "id": [ 276 ], "area": [ 163800 ], "bbox": [ [ 124, 55, 312, 525 ] ], "category": [ 1 ] }
104
640
640
{ "id": [ 104 ], "area": [ 166485 ], "bbox": [ [ 104, 142, 467, 356.5 ] ], "category": [ 2 ] }
209
640
640
{ "id": [ 209 ], "area": [ 81210 ], "bbox": [ [ 265, 69, 208.5, 389.5 ] ], "category": [ 1 ] }
7
640
640
{ "id": [ 7 ], "area": [ 210050 ], "bbox": [ [ 17, 173, 611.5, 343.5 ] ], "category": [ 3 ] }
389
640
640
{ "id": [ 389 ], "area": [ 40743 ], "bbox": [ [ 252, 192, 162, 251.5 ] ], "category": [ 1 ] }
368
640
640
{ "id": [ 368 ], "area": [ 246807 ], "bbox": [ [ 55, 188, 556.5, 443.5 ] ], "category": [ 3 ] }
141
640
640
{ "id": [ 141 ], "area": [ 149618 ], "bbox": [ [ 117, 255, 462.5, 323.5 ] ], "category": [ 3 ] }
40
640
640
{ "id": [ 40 ], "area": [ 60965 ], "bbox": [ [ 148, 248, 342.5, 178 ] ], "category": [ 2 ] }
357
640
640
{ "id": [ 357 ], "area": [ 152252 ], "bbox": [ [ 63, 171, 513.5, 296.5 ] ], "category": [ 2 ] }
68
640
640
{ "id": [ 68 ], "area": [ 235415 ], "bbox": [ [ 19, 151, 597.5, 394 ] ], "category": [ 3 ] }
232
640
640
{ "id": [ 232 ], "area": [ 144717 ], "bbox": [ [ 184, 73, 270.5, 535 ] ], "category": [ 1 ] }
179
640
640
{ "id": [ 179 ], "area": [ 25928 ], "bbox": [ [ 223, 252, 112, 231.5 ] ], "category": [ 1 ] }
90
640
640
{ "id": [ 90 ], "area": [ 35639 ], "bbox": [ [ 263, 225, 157, 227 ] ], "category": [ 1 ] }
42
640
640
{ "id": [ 42 ], "area": [ 225040 ], "bbox": [ [ 6, 137, 581.5, 387 ] ], "category": [ 2 ] }
185
640
640
{ "id": [ 185 ], "area": [ 213097 ], "bbox": [ [ 27, 136, 577.5, 369 ] ], "category": [ 2 ] }
248
640
640
{ "id": [ 248 ], "area": [ 41229 ], "bbox": [ [ 265, 179, 162, 254.5 ] ], "category": [ 1 ] }
74
640
640
{ "id": [ 74 ], "area": [ 133619 ], "bbox": [ [ 198, 49, 244.5, 546.5 ] ], "category": [ 1 ] }
29
640
640
{ "id": [ 29 ], "area": [ 139578 ], "bbox": [ [ 152, 198, 427.5, 326.5 ] ], "category": [ 3 ] }
445
640
640
{ "id": [ 445 ], "area": [ 213157 ], "bbox": [ [ 61, 161, 518, 411.5 ] ], "category": [ 3 ] }
274
640
640
{ "id": [ 274 ], "area": [ 91300 ], "bbox": [ [ 259, 171, 207.5, 440 ] ], "category": [ 1 ] }
180
640
640
{ "id": [ 180 ], "area": [ 247361 ], "bbox": [ [ 72, 121, 554, 446.5 ] ], "category": [ 2 ] }
168
640
640
{ "id": [ 168 ], "area": [ 161787 ], "bbox": [ [ 21, 193, 597, 271 ] ], "category": [ 2 ] }
75
640
640
{ "id": [ 75 ], "area": [ 140486 ], "bbox": [ [ 163, 137, 287, 489.5 ] ], "category": [ 1 ] }
53
640
640
{ "id": [ 53 ], "area": [ 63396 ], "bbox": [ [ 242, 182, 216, 293.5 ] ], "category": [ 1 ] }
25
640
640
{ "id": [ 25 ], "area": [ 135922 ], "bbox": [ [ 134, 194, 431.5, 315 ] ], "category": [ 3 ] }
397
640
640
{ "id": [ 397 ], "area": [ 143212 ], "bbox": [ [ 160, 196, 475, 301.5 ] ], "category": [ 2 ] }
1
640
640
{ "id": [ 1 ], "area": [ 142465 ], "bbox": [ [ 66, 195, 519, 274.5 ] ], "category": [ 2 ] }
58
640
640
{ "id": [ 58 ], "area": [ 122587 ], "bbox": [ [ 148, 77, 262.5, 467 ] ], "category": [ 1 ] }
195
640
640
{ "id": [ 195 ], "area": [ 133760 ], "bbox": [ [ 198, 50, 239.5, 558.5 ] ], "category": [ 1 ] }
264
640
640
{ "id": [ 264 ], "area": [ 196718 ], "bbox": [ [ 76, 175, 517, 380.5 ] ], "category": [ 3 ] }
351
640
640
{ "id": [ 351 ], "area": [ 198607 ], "bbox": [ [ 2, 161, 630.5, 315 ] ], "category": [ 2 ] }
282
640
640
{ "id": [ 282 ], "area": [ 86292 ], "bbox": [ [ 87, 170, 399.5, 216 ] ], "category": [ 2 ] }
11
640
640
{ "id": [ 11 ], "area": [ 178106 ], "bbox": [ [ 14, 172, 611, 291.5 ] ], "category": [ 2 ] }
5
640
640
{ "id": [ 5 ], "area": [ 83331 ], "bbox": [ [ 158, 109, 197, 423 ] ], "category": [ 1 ] }
98
640
640
{ "id": [ 98 ], "area": [ 220368 ], "bbox": [ [ 50, 188, 566.5, 389 ] ], "category": [ 3 ] }
3
640
640
{ "id": [ 3 ], "area": [ 38794 ], "bbox": [ [ 180, 269, 163, 238 ] ], "category": [ 1 ] }
158
640
640
{ "id": [ 158 ], "area": [ 26724 ], "bbox": [ [ 276, 254, 136, 196.5 ] ], "category": [ 1 ] }
146
640
640
{ "id": [ 146 ], "area": [ 37563 ], "bbox": [ [ 226, 273, 157.5, 238.5 ] ], "category": [ 1 ] }
417
640
640
{ "id": [ 417 ], "area": [ 162753 ], "bbox": [ [ 27, 182, 586.5, 277.5 ] ], "category": [ 2 ] }
10
640
640
{ "id": [ 10 ], "area": [ 176406 ], "bbox": [ [ 35, 114, 564.5, 312.5 ] ], "category": [ 2 ] }
174
640
640
{ "id": [ 174 ], "area": [ 138182 ], "bbox": [ [ 33, 248, 571, 242 ] ], "category": [ 2 ] }
222
640
640
{ "id": [ 222 ], "area": [ 173388 ], "bbox": [ [ 2, 144, 601, 288.5 ] ], "category": [ 2 ] }
450
640
640
{ "id": [ 450 ], "area": [ 171402 ], "bbox": [ [ 161, 62, 318, 539 ] ], "category": [ 1 ] }
116
640
640
{ "id": [ 116 ], "area": [ 168910 ], "bbox": [ [ 12, 152, 606.5, 278.5 ] ], "category": [ 2 ] }
155
640
640
{ "id": [ 155 ], "area": [ 32215 ], "bbox": [ [ 259, 207, 143.5, 224.5 ] ], "category": [ 1 ] }
288
640
640
{ "id": [ 288 ], "area": [ 35678 ], "bbox": [ [ 267, 216, 151.5, 235.5 ] ], "category": [ 1 ] }
253
640
640
{ "id": [ 253 ], "area": [ 254406 ], "bbox": [ [ 6, 104, 630.5, 403.5 ] ], "category": [ 3 ] }
8
640
640
{ "id": [ 8 ], "area": [ 142158 ], "bbox": [ [ 19, 157, 567.5, 250.5 ] ], "category": [ 2 ] }
265
640
640
{ "id": [ 265 ], "area": [ 30482 ], "bbox": [ [ 251, 250, 137, 222.5 ] ], "category": [ 1 ] }
119
640
640
{ "id": [ 119 ], "area": [ 349567 ], "bbox": [ [ 0, 43, 635, 550.5 ] ], "category": [ 3 ] }
170
640
640
{ "id": [ 170 ], "area": [ 223104 ], "bbox": [ [ 41, 144, 581, 384 ] ], "category": [ 2 ] }
270
640
640
{ "id": [ 270 ], "area": [ 32488 ], "bbox": [ [ 229, 211, 131, 248 ] ], "category": [ 1 ] }
55
640
640
{ "id": [ 55 ], "area": [ 92437 ], "bbox": [ [ 203, 108, 212.5, 435 ] ], "category": [ 1 ] }
151
640
640
{ "id": [ 151 ], "area": [ 92064 ], "bbox": [ [ 147, 102, 224, 411 ] ], "category": [ 1 ] }
326
640
640
{ "id": [ 326 ], "area": [ 133512 ], "bbox": [ [ 56, 248, 485.5, 275 ] ], "category": [ 2 ] }
100
640
640
{ "id": [ 100 ], "area": [ 234761 ], "bbox": [ [ 12, 144, 603.5, 389 ] ], "category": [ 2 ] }
390
640
640
{ "id": [ 390 ], "area": [ 176124 ], "bbox": [ [ 12, 117, 564.5, 312 ] ], "category": [ 2 ] }
91
640
640
{ "id": [ 91 ], "area": [ 137297 ], "bbox": [ [ 37, 204, 547, 251 ] ], "category": [ 2 ] }
41
640
640
{ "id": [ 41 ], "area": [ 151410 ], "bbox": [ [ 128, 146, 379, 399.5 ] ], "category": [ 3 ] }
301
640
640
{ "id": [ 301 ], "area": [ 177300 ], "bbox": [ [ 20, 172, 600, 295.5 ] ], "category": [ 2 ] }
364
640
640
{ "id": [ 364 ], "area": [ 250913 ], "bbox": [ [ 3, 131, 626.5, 400.5 ] ], "category": [ 3 ] }
127
640
640
{ "id": [ 127 ], "area": [ 167359 ], "bbox": [ [ 170, 52, 310.5, 539 ] ], "category": [ 1 ] }
352
640
640
{ "id": [ 352 ], "area": [ 87567 ], "bbox": [ [ 202, 64, 202, 433.5 ] ], "category": [ 1 ] }
34
640
640
{ "id": [ 34 ], "area": [ 41182 ], "bbox": [ [ 244, 196, 161.5, 255 ] ], "category": [ 1 ] }
252
640
640
{ "id": [ 252 ], "area": [ 112194 ], "bbox": [ [ 60, 246, 525.5, 213.5 ] ], "category": [ 2 ] }
223
640
640
{ "id": [ 223 ], "area": [ 166262 ], "bbox": [ [ 26, 269, 587.5, 283 ] ], "category": [ 2 ] }
272
640
640
{ "id": [ 272 ], "area": [ 168216 ], "bbox": [ [ 162, 63, 344, 489 ] ], "category": [ 1 ] }
126
640
640
{ "id": [ 126 ], "area": [ 206387 ], "bbox": [ [ 35, 176, 576.5, 358 ] ], "category": [ 2 ] }
251
640
640
{ "id": [ 251 ], "area": [ 141201 ], "bbox": [ [ 47, 172, 522, 270.5 ] ], "category": [ 2 ] }
293
640
640
{ "id": [ 293 ], "area": [ 251049 ], "bbox": [ [ 2, 131, 624.5, 402 ] ], "category": [ 2 ] }
300
640
640
{ "id": [ 300 ], "area": [ 202815 ], "bbox": [ [ 143, 31, 351.5, 577 ] ], "category": [ 1 ] }
237
640
640
{ "id": [ 237 ], "area": [ 116812 ], "bbox": [ [ 103, 207, 503.5, 232 ] ], "category": [ 2 ] }
217
640
640
{ "id": [ 217 ], "area": [ 104650 ], "bbox": [ [ 78, 246, 455, 230 ] ], "category": [ 2 ] }
371
640
640
{ "id": [ 371 ], "area": [ 234517 ], "bbox": [ [ 27, 142, 588.5, 398.5 ] ], "category": [ 2 ] }
441
640
640
{ "id": [ 441 ], "area": [ 324060 ], "bbox": [ [ 9, 63, 615.5, 526.5 ] ], "category": [ 2 ] }
181
640
640
{ "id": [ 181 ], "area": [ 145515 ], "bbox": [ [ 51, 182, 545, 267 ] ], "category": [ 3 ] }
438
640
640
{ "id": [ 438 ], "area": [ 37133 ], "bbox": [ [ 212, 200, 142, 261.5 ] ], "category": [ 1 ] }
End of preview. Expand in Dataset Viewer.

Dataset Card for furniture-ngpea

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

Dataset Summary

furniture-ngpea

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/furniture-ngpea

Citation Information 

@misc{ furniture-ngpea,
    title = { furniture ngpea Dataset },
    type = { Open Source Dataset },
    author = { Roboflow 100 },
    howpublished = { \url{ https://universe.roboflow.com/object-detection/furniture-ngpea } },
    url = { https://universe.roboflow.com/object-detection/furniture-ngpea },
    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
56
Edit dataset card
Homepage:
universe.roboflow.com
Point of Contact:
francesco.zuppichini@gmail.com
Size of downloaded dataset files:
19.6 MB
Size of the auto-converted Parquet files:
19.6 MB
Number of rows:
689

Models trained or fine-tuned on Francesco/furniture-ngpea