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gesture-recognition-cvvyy/6 (latest)
Dataset Analytics
Generated on October 30, 2024 at 10:27 am.
Number of Images
230
Number of Annotations
1,142
Average Image Size
2.07 mp
Median Image Ratio
1920x1080
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
616
222
83
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Under Represented
81
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Under Represented
76
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Under Represented
35
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Under Represented
29
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Under Represented
454
167
61
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Under Represented
64
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Under Represented
57
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Under Represented
27
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Under Represented
17
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Under Represented
127
43
16
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Under Represented
13
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Under Represented
14
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Under Represented
7
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Under Represented
10
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Under Represented
35
12
6
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Under Represented
4
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Under Represented
5
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Under Represented
1
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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.
All images are the same size, 1920x1080.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
230
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
serve (35)
player (616)
ball (222)
block (76)
spike (83)
bagher (81)
set (29)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
serve
player
ball
block
spike
bagher
set
-
1
-
2
-
3
-
4
-
5
222 imgs
111