Dataset Versions
Versions
v1
2024-04-15 10:10am
Generated on Apr 15, 2024
692 Total Images
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Dataset Split
Train Set 88%
606Images
Valid Set 8%
57Images
Test Set 4%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%