Dataset Versions
v2
2024-09-20 6:48pm
Generated on Sep 20, 2024
592 Total Images
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Dataset Split
Train Set 92%
545Images
Valid Set 5%
31Images
Test Set 3%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.7px