Dataset Versions
Versions
v1
2024-06-22 1:28pm
Generated on Jun 22, 2024
98 Total Images
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Dataset Split
Train Set 86%
84Images
Valid Set 12%
12Images
Test Set 2%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 87% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 1.09% of pixels