Dataset Versions
v2
2024-01-30 4:54pm
Generated on Jan 30, 2024
974 Total Images
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Dataset Split
Train Set 92%
895Images
Valid Set 5%
52Images
Test Set 3%
27Images
Preprocessing
Auto-Orient: Applied
Static Crop: 14-90% Horizontal Region, 2-90% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -10% and +10%
Exposure: Between -15% and +15%