Dataset Versions
v2
2024-08-14 4:26am
Generated on Aug 14, 2024
843 Total Images
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Dataset Split
Train Set 88%
738Images
Valid Set 8%
70Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 23% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -11% and +11%