Dataset Versions
Versions
v1
2024-08-29 9:08am
Generated on Aug 29, 2024
4505 Total Images
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Dataset Split
Train Set 92%
4158Images
Valid Set 4%
174Images
Test Set 4%
173Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each