Dataset Versions
v2
2024-12-12 12:56am
Generated on Dec 11, 2024
6341 Total Images
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Dataset Split
Train Set 82%
5222Images
Valid Set 12%
746Images
Test Set 6%
373Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels