Dataset Versions
v3
2023-12-14 10:42am
Generated on Dec 14, 2023
2259 Total Images
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Dataset Split
Train Set 88%
1977Images
Valid Set 8%
188Images
Test Set 4%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical