Dataset Versions
v7
2024-03-18 3:49pm
Generated on Mar 18, 2024
43 Total Images
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Dataset Split
Train Set 84%
36Images
Valid Set 12%
5Images
Test Set 5%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 10% of images
Brightness: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels
Bounding Box: Rotation: Between -15° and +15°