Dataset Versions
v4
2024-11-12 4:07pm
Generated on Nov 12, 2024
787 Total Images
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Dataset Split
Train Set 89%
702Images
Valid Set 11%
85Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -3° and +3°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Blur: Up to 1.5px