Dataset Versions
v1
2024-11-07 1:37pm
Generated on Nov 7, 2024
620 Total Images
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Dataset Split
Train Set 87%
540Images
Valid Set 8%
51Images
Test Set 5%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±28° Vertical
Grayscale: Apply to 15% of images
Hue: Between -53° and +53°
Saturation: Between -53% and +53%
Blur: Up to 7.9px
Noise: Up to 6.47% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -42% and +42%