Dataset Versions
v3
2024-09-02 10:42am
Generated on Sep 2, 2024
144 Total Images
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Dataset Split
Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels