Search is not available for this dataset
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524,
135,
45.5,
55.5
],
[
558,
138,
53,
65
],
[
403,
131,
145.5,
136
],
[
217,
190,
58,
81.5
],
[
86,
233,
130.5,
160
],
[
532,
340,
103.5,
162
],
[
357,
358,
110.5,
158
],
[
541,
27,
91,
104.5
],
[
371,
30,
103.5,
109
]
],
"category": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
} |
|
59 | 640 | 640 | {
"id": [
434,
435,
436,
437,
438
],
"area": [
4987,
3630,
5406,
2482,
24219
],
"bbox": [
[
506,
185,
75,
66.5
],
[
530,
255,
66,
55
],
[
324,
383,
62.5,
86.5
],
[
448,
433,
68,
36.5
],
[
70,
373,
138,
175.5
]
],
"category": [
1,
1,
1,
1,
1
]
} |
End of preview. Expand
in Dataset Viewer.
Dataset Card for secondary-chains
** The original COCO dataset is stored at dataset.tar.gz
**
Dataset Summary
secondary-chains
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.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 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/secondary-chains
Citation Information
@misc{ secondary-chains,
title = { secondary chains Dataset },
type = { Open Source Dataset },
author = { Roboflow 100 },
howpublished = { \url{ https://universe.roboflow.com/object-detection/secondary-chains } },
url = { https://universe.roboflow.com/object-detection/secondary-chains },
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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