Dataset Versions
v1
2023-03-14 1:01am
Generated on Mar 13, 2023
4600 Total Images
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Dataset Split
Train Set 90%
4140Images
Valid Set 7%
300Images
Test Set 3%
160Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°