Dataset Versions
v2
2024-01-23 12:40pm
Generated on Jan 23, 2024
3485 Total Images
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Dataset Split
Train Set 86%
2985Images
Valid Set 6%
200Images
Test Set 9%
300Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%