Dataset Versions
v5
2024-11-29 3:11pm
Generated on Nov 29, 2024
811 Total Images
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Dataset Split
Train Set 88%
711Images
Valid Set 9%
69Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 10% of images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -5% and +5%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%