Dataset Versions
v8
2024-12-12 8:29am
Generated on Dec 12, 2024
426 Total Images
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Dataset Split
Train Set 87%
372Images
Valid Set 13%
54Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 4% of images
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%
Noise: Up to 0.1% of pixels