Dataset Versions
v3
2023-06-01 10:32pm
Generated on Jun 1, 2023
6255 Total Images
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Dataset Split
Train Set 88%
5534Images
Valid Set %
0Images
Test Set 12%
721Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (black edges) in 224x224
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 52 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels