Dataset Versions
v2
2024-05-17 4:51pm
Generated on May 17, 2024
370 Total Images
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Dataset Split
Train Set 88%
324Images
Valid Set 8%
31Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
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
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal