Dataset Versions
v5
2024-06-25 4:38am
Generated on Jun 25, 2024
612 Total Images
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Dataset Split
Train Set 100%
612Images
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: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°