Dataset Versions
v1
2024-08-23 4:22am
Generated on Aug 23, 2024
1186 Total Images
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Dataset Split
Train Set 89%
1050Images
Valid Set 7%
87Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 100% of images
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom