Dataset Versions
Versions
v1
2024-05-13 6:15pm
Generated on May 13, 2024
634 Total Images
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Dataset Split
Train Set 88%
555Images
Valid Set 8%
53Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels