Dataset Versions
v6
2024-10-26 7:43am
Generated on Oct 26, 2024
463 Total Images
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Dataset Split
Train Set 87%
405Images
Valid Set 8%
39Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels