Dataset Versions
v1
2024-03-23 1:31pm
Generated on Mar 23, 2024
3783 Total Images
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Dataset Split
Train Set 94%
3563Images
Valid Set 4%
148Images
Test Set 2%
72Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels