Dataset Versions
v2
2024-10-07 4:15pm
Generated on Oct 7, 2024
7584 Total Images
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Dataset Split
Train Set 82%
6184Images
Valid Set 12%
902Images
Test Set 7%
498Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.3% of pixels