Dataset Versions
v4
2024-01-17 10:37am
Generated on Jan 17, 2024
628 Total Images
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Dataset Split
Train Set 90%
567Images
Valid Set 7%
41Images
Test Set 3%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -13% and +13%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.3px
Noise: Up to 0.61% of pixels