Dataset Versions
v2
2024-06-03 2:18pm
Generated on Jun 3, 2024
4939 Total Images
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Dataset Split
Train Set 94%
4648Images
Valid Set 4%
197Images
Test Set 2%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±9° Vertical
Grayscale: Apply to 20% of images
Hue: Between -14° and +14°
Saturation: Between -11% and +11%
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
Blur: Up to 2.5px
Noise: Up to 0.69% of pixels