Dataset Versions
v2
2024-10-24 12:20am
Generated on Oct 24, 2024
220 Total Images
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Dataset Split
Train Set 90%
198Images
Valid Set 6%
13Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.54% of pixels