Dataset Versions
v1
2024-08-09 2:27pm
Generated on Aug 9, 2024
833 Total Images
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Dataset Split
Train Set 88%
729Images
Valid Set 8%
69Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 2048x1900
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -13° and +13°
Grayscale: Apply to 19% of images
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 2.6px
Noise: Up to 1.29% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 7% Maximum Zoom
Bounding Box: Rotation: Between -13° and +13°
Bounding Box: Shear: ±5° Horizontal, ±4° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.4px
Bounding Box: Noise: Up to 0.1% of pixels