Dataset Versions
v3
2024-09-26 1:02pm
Generated on Sep 26, 2024
298 Total Images
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Dataset Split
Train Set 89%
264Images
Valid Set 7%
22Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -17° and +17°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels