Dataset Versions
v4
2024-05-05 6:05pm
Generated on May 5, 2024
7379 Total Images
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Dataset Split
Train Set 94%
6965Images
Valid Set 4%
277Images
Test Set 2%
137Images
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