Dataset Versions
v1
2024-06-17 9:20am
Generated on Jun 17, 2024
549 Total Images
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Dataset Split
Train Set 87%
480Images
Valid Set 8%
46Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels