Dataset Versions
Versions
v1
2023-11-12 12:20am
Generated on Nov 11, 2023
278 Total Images
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Dataset Split
Train Set 87%
243Images
Valid Set 8%
23Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 62% Maximum Zoom
Saturation: Between -16% and +16%
Brightness: Between -39% and +39%
Exposure: Between -35% and +35%
Noise: Up to 7% of pixels