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textile-defect-detection-aaajl/9 (latest)
Dataset Analytics
Generated on October 15, 2024 at 5:36 pm.
Number of Images
69
Number of Annotations
162
Average Image Size
0.41 mp
Median Image Ratio
684x593
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
78
62
22
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Under Represented
57
45
8
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
13
16
5
Add more images with this class to improve the model's ability to learn and predict it.
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 (684x593).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
13
square
24
wide
32
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.