Dataset Versions
v5
a
Generated on Jun 11, 2024
361 Total Images
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Dataset Split
Train Set 83%
298Images
Valid Set 12%
42Images
Test Set 6%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px