Dataset Versions
v3
2024-11-29 12:22pm
Generated on Nov 29, 2024
498 Total Images
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Dataset Split
Train Set 87%
435Images
Valid Set 8%
41Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 0.6px
Noise: Up to 0.57% of pixels