Dataset Versions
v2
2024-01-21 4:12pm
Generated on Jan 21, 2024
4500 Total Images
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Dataset Split
Train Set 100%
4500Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Noise: Up to 1.8% of pixels
Cutout: 4 boxes with 12% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 26% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -17% and +17%
Bounding Box: Noise: Up to 0.46% of pixels