Dataset Analytics
Generated on …
Number of Images
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⊘ — missing annotations
⊘ — null examples
Number of Annotations
—
▣ — per image (average)
</> Across — classes
Average Image Size
—mp
🔍 from —
🔍 to —
Median Image Ratio
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—
Classes i
Overview of the number of annotations for each class in your dataset.
Train
Valid
Test
Diagnosis Distribution i
HAM10000 lesion type recovered from each filename prefix — the label the stage-2 classifier predicts.
Dimension Insights i
Sizes and aspect ratios of the images in your dataset. Dashed lines are the median width
(— px) and median height (— px).
Images
Annotation Insights i
How large the boxes are, how they are shaped, and where they sit inside the frame.
Box size (√area as % of image)
Aspect ratio (width ÷ height)
Annotation heatmap
Annotations per image
Dataset Split i
Train / valid / test partition as it exists on disk.