Dataset Versions
v2
2024-08-25 7:35pm
Generated on Aug 25, 2024
2274 Total Images
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Dataset Split
Train Set 87%
1989Images
Valid Set 8%
189Images
Test Set 4%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 3.74% of pixels