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sign-language-detection-yolov8/1 (latest)
Dataset Analytics
Generated on June 24, 2024 at 7:29 pm.
Number of Images
330
Number of Annotations
330
Average Image Size
0.31 mp
Median Image Ratio
640x480
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
40
40
40
39
37
37
20
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Under Represented
20
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Under Represented
19
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Under Represented
19
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Under Represented
19
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Under Represented
25
27
28
27
27
25
12
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Under Represented
18
15
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Under Represented
11
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Under Represented
15
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Under Represented
8
10
8
9
8
9
3
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Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
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Under Represented
7
3
4
3
2
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Under Represented
3
5
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
1
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Under Represented
4
1
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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, 640x480.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
330
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Hello (40)
D (40)
I (39)
E (40)
B (37)
A (37)
No (19)
Nama (19)
IloveYou (20)
N (20)
L (19)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Hello
D
I
E
B
A
No
Nama
IloveYou
N
L
-
1
330 imgs
165