Dataset Versions
Versions
v1
2024-11-19 2:37pm
Generated on Nov 19, 2024
826 Total Images
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Dataset Split
Train Set 88%
723Images
Valid Set 8%
69Images
Test Set 4%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px