Dataset Versions
v2
2024-11-04 6:59am
Generated on Nov 4, 2024
1691 Total Images
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Dataset Split
Train Set 87%
1479Images
Valid Set 8%
141Images
Test Set 4%
71Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Mosaic: Applied