Dataset Versions
v3
2024-09-18 11:35am
Generated on Sep 18, 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 Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -11° and +11°
Grayscale: Apply to 21% of images
Hue: Between -21° and +21°
Saturation: Between -22% and +22%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 2.6px
Noise: Up to 1.8% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 5% Maximum Zoom
Bounding Box: Rotation: Between -13° and +13°
Bounding Box: Shear: ±3° Horizontal, ±3° Vertical
Bounding Box: Brightness: Between -11% and +11%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.4px
Bounding Box: Noise: Up to 0.14% of pixels