Dataset Versions
v4
2024-12-03 10:36am
Generated on Dec 3, 2024
3904 Total Images
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Dataset Split
Train Set 85%
3312Images
Valid Set 9%
352Images
Test Set 6%
240Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (reflect edges) in 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%