Dataset Versions
v1
2024-09-11 3:48am
Generated on Sep 11, 2024
3099 Total Images
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Dataset Split
Train Set 88%
2712Images
Valid Set 8%
259Images
Test Set 4%
128Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.96% of pixels