Dataset Versions
v3
2023-09-15 10:24am
Generated on Sep 15, 2023
4759 Total Images
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Dataset Split
Train Set 87%
4164Images
Valid Set 8%
398Images
Test Set 4%
197Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 40% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Blur: Up to 2px