Dataset Versions
v1
2024-11-05 1:48pm
Generated on Nov 5, 2024
76 Total Images
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Dataset Split
Train Set 87%
66Images
Valid Set 9%
7Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.69% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -15% and +15%