Dataset Versions
v2
2024-07-22 5:04am
Generated on Jul 22, 2024
6445 Total Images
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Dataset Split
Train Set 93%
6000Images
Valid Set 4%
243Images
Test Set 3%
202Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 360x360
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Cutout: 4 boxes with 8% size each