Dataset Versions
v1
first
Generated on Apr 8, 2024
3080 Total Images
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Dataset Split
Train Set 96%
2970Images
Valid Set 2%
55Images
Test Set 2%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 709x749
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Saturation: Between -10% and +10%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 1.99% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -3% and +3%
Bounding Box: Noise: Up to 1% of pixels