Dataset Versions
v11
2024-06-26 7:06pm
Generated on Jun 26, 2024
6639 Total Images
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Dataset Split
Train Set 75%
4980Images
Valid Set 13%
830Images
Test Set 12%
829Images
Preprocessing
Auto-Orient: Applied
Static Crop: 39-85% Horizontal Region, 24-60% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels