Dataset Versions
v4
2024-11-09 2:32am
Generated on Nov 9, 2024
325 Total Images
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Dataset Split
Train Set 88%
285Images
Valid Set 8%
27Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px