Dataset Versions
v5
2024-10-04 11:48am
Generated on Oct 4, 2024
3177 Total Images
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Dataset Split
Train Set 89%
2814Images
Valid Set 8%
247Images
Test Set 4%
116Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x1000
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -1° and +1°
Grayscale: Apply to 18% of images
Hue: Between -18° and +18°
Saturation: Between -19% and +19%
Brightness: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 2.4px
Noise: Up to 1.96% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 2% Maximum Zoom
Bounding Box: Shear: ±1° Horizontal, ±1° Vertical
Bounding Box: Brightness: Between -7% and +7%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 1.4px
Bounding Box: Noise: Up to 0.14% of pixels