Dataset Versions
v2
2024-01-24 2:17pm
Generated on Jan 24, 2024
369 Total Images
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Dataset Split
Train Set 88%
326Images
Valid Set 8%
30Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Hue: Between -24° and +24°
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px