Dataset Versions
Versions
v1
2024-11-06 6:59am
Generated on Nov 6, 2024
4245 Total Images
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Dataset Split
Train Set 88%
3717Images
Valid Set 8%
352Images
Test Set 4%
176Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 22% of 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 -5% and +5%
Blur: Up to 0.9px
Noise: Up to 0.1% of pixels