Dataset Versions
v2
2024-12-07 2:57am
Generated on Dec 6, 2024
721 Total Images
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Dataset Split
Train Set 87%
624Images
Valid Set 9%
66Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
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
Brightness: Between -17% and +17%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels