Dataset Versions
Versions
v1
2023-09-15 1:01pm
Generated on Sep 15, 2023
72 Total Images
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Dataset Split
Train Set 92%
66Images
Valid Set 4%
3Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±24° Horizontal, ±30° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -38% and +38%
Noise: Up to 3% of pixels