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object-s-collision-detection/1 (latest)
Dataset Analytics
Generated on April 13, 2024 at 8:06 am.
Number of Images
3,004
Number of Annotations
4,417
Average Image Size
0.25 mp
Median Image Ratio
640x400
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
2,279
581
504
401
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Under Represented
397
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Under Represented
142
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Under Represented
78
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Under Represented
35
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Under Represented
1563
419
354
281
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Under Represented
276
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Under Represented
99
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Under Represented
54
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Under Represented
23
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Under Represented
489
107
96
75
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Under Represented
74
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Under Represented
24
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Under Represented
16
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Under Represented
10
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Under Represented
227
55
54
45
47
19
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Under Represented
8
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Under Represented
2
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Under Represented
Dimension Insights
Overview of the sizes and aspect ratios of the images in your dataset.
Size Distribution
Sizes are based on the number of pixels in your images.
The purple box indicates the median width by median height image (640x400).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
69
square
170
wide
2,741
very wide
22
> 1.5:1
extremely wide
2
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
bus (581)
car (2,279)
truck (504)
motobikes (401)
cng (397)
train (142)
leguna (78)
rickshaw (35)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
bus
car
truck
motobikes
cng
train
leguna
rickshaw
-
0
-
1
-
2-3
-
4-5
-
6-7
-
8-9
-
10-11
-
12-13
-
14-15
1926 imgs
963