Dataset Versions
v6
2024-05-22 12:06pm
Generated on May 22, 2024
548 Total Images
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Dataset Split
Train Set 94%
513Images
Valid Set 4%
23Images
Test Set 2%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%