Dataset Versions
v1
2022-12-21 5:59pm
Generated on Dec 21, 2022
507 Total Images
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Dataset Split
Train Set 88%
444Images
Valid Set 8%
42Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-89% Horizontal Region, 34-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Shear: ±22° Horizontal, ±11° Vertical
Brightness: Between -25% and +25%
Noise: Up to 1% of pixels