Dataset Versions
v1
Augmentation
Generated on Jan 6, 2024
6298 Total Images
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Dataset Split
Train Set 88%
5511Images
Valid Set 8%
525Images
Test Set 4%
262Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.1% of pixels