Dataset Versions
v3
2023-12-23 2:59pm
Generated on Dec 23, 2023
2149 Total Images
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Dataset Split
Train Set 88%
1881Images
Valid Set 8%
179Images
Test Set 4%
89Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±30° Vertical
Grayscale: Apply to 20% of images
Cutout: 5 boxes with 5% size each
Mosaic: Applied
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 2.5px