class Dataset
v1
2024-06-22 1:12pm
Generated on Jun 22, 2024
569 Total Images
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Dataset Split
Train Set 96%
549Images
Valid Set %
0Images
Test Set 4%
20Images
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: ±15° Horizontal, ±13° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -64% and +64%
Blur: Up to 3.9px
Noise: Up to 0.3% of pixels