Dataset Versions
Versions
v1
2023-05-20 7:38pm
Generated on May 20, 2023
23400 Total Images
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Dataset Split
Train Set 86%
20100Images
Valid Set 6%
1300Images
Test Set 9%
2000Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 66% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -16° and +16°
Grayscale: Apply to 56% of images
Saturation: Between -99% and +99%
Exposure: Between -28% and +28%
Noise: Up to 9% of pixels