Dataset Versions
v1
2024-03-12 6:37pm
Generated on Mar 12, 2024
79 Total Images
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Dataset Split
Train Set 91%
72Images
Valid Set 5%
4Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 15% Minimum Zoom, 45% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -65° and +65°
Saturation: Between -70% and +70%
Brightness: Between -39% and +39%
Exposure: Between -40% and +40%
Blur: Up to 2.5px
Noise: Up to 0.81% of pixels
Cutout: 3 boxes with 10% size each
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