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540,
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382,
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370,
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421,
409,
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375,
400,
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94,
426,
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38
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115,
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62,
468,
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31
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84,
489,
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[
499,
462,
52.5,
89
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[
468,
504,
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2,
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2,
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1,
2,
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1
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} |
|
15 | 640 | 640 | {
"id": [
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
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792,
793,
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805,
806,
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812,
813
],
"area": [
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1553,
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1708,
1738,
1885,
1968,
1742,
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1534,
2057
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218,
138,
31.5,
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[
147,
145,
28.5,
54.5
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[
489,
147,
35.5,
58
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438,
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71,
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549,
207,
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173,
213,
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61.5
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[
482,
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52
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[
96,
218,
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520,
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413,
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139,
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367,
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220,
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418,
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189,
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382,
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57
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[
120,
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557,
318,
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[
90,
329,
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225,
334,
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54.5
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420,
354,
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52
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63
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527,
365,
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369,
389,
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78,
394,
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57
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[
413,
412,
30,
48.5
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[
198,
417,
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55.5
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[
98,
424,
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[
472,
451,
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368,
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[
555,
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69,
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[
211,
467,
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[
162,
467,
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513,
491,
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52
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132,
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2,
1,
2,
2,
2,
1,
2,
1,
2,
2,
2,
1,
2,
1,
1,
2,
1,
1,
1,
1,
2,
1,
2,
1,
1,
1,
2,
2,
2,
2,
1,
1,
2,
1,
2,
1,
1,
1,
1,
2
]
} |
Dataset Card for marbles
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
marbles
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 idimage:PIL.Image.Imageobject 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 overdataset["image"][0]width: the image widthheight: the image heightobjects: a dictionary containing bounding box metadata for the objects present on the imageid: the annotation idarea: the area of the bounding boxbbox: 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/marbles
Citation Information
@misc{ marbles,
title = { marbles Dataset },
type = { Open Source Dataset },
author = { Roboflow 100 },
howpublished = { \url{ https://universe.roboflow.com/object-detection/marbles } },
url = { https://universe.roboflow.com/object-detection/marbles },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2023-03-29 },
}"
Contributions
Thanks to @mariosasko for adding this dataset.
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