Dataset Versions
v2
2024-10-07 9:34am
Generated on Oct 7, 2024
228 Total Images
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Dataset Split
Train Set 93%
213Images
Valid Set 4%
10Images
Test Set 2%
5Images
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
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Noise: Up to 0.1% of pixels