Dataset Versions
v2
2022-12-14 11:33pm
Generated on Dec 14, 2022
38240 Total Images
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Dataset Split
Train Set 85%
32544Images
Valid Set 7%
2720Images
Test Set 8%
2976Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels