Dataset Versions
v4
2024-03-17 2:15am
Generated on Mar 17, 2024
427 Total Images
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Dataset Split
Train Set 88%
375Images
Valid Set 8%
35Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -13% and +13%
Cutout: 3 boxes with 10% size each