Dataset Versions
v2
2024-12-10 3:22pm
Generated on Dec 10, 2024
255 Total Images
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Dataset Split
Train Set 86%
219Images
Valid Set 9%
24Images
Test Set 5%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 4 boxes with 10% size each