Dataset Versions
v2
2024-12-07 8:29pm
Generated on Dec 7, 2024
484 Total Images
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Dataset Split
Train Set 95%
460Images
Valid Set 2%
12Images
Test Set 2%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -39° and +39°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.61% of pixels