Dataset Versions
v2
2024-10-10 7:45am
Generated on Oct 10, 2024
155 Total Images
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Dataset Split
Train Set 87%
135Images
Valid Set 9%
14Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x800
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.26% of pixels