Dataset Versions
v4
2024-02-22 5:41pm
Generated on Feb 23, 2024
837 Total Images
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Dataset Split
Train Set 87%
726Images
Valid Set 10%
80Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.21% of pixels