Dataset Versions
Versions
v1
2024-09-19 11:46am
Generated on Sep 19, 2024
3277 Total Images
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Dataset Split
Train Set 82%
2682Images
Valid Set 9%
297Images
Test Set 9%
298Images
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
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels