Dataset Versions
v2
2024-09-03 11:20am
Generated on Sep 3, 2024
4519 Total Images
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Dataset Split
Train Set 95%
4305Images
Valid Set 4%
164Images
Test Set 1%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Shear: ±10° Horizontal, ±9° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.61% of pixels