Dataset Versions
v4
2024-09-03 5:34pm
Generated on Sep 3, 2024
8185 Total Images
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Dataset Split
Train Set 96%
7824Images
Valid Set 3%
238Images
Test Set 2%
123Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels