Labeling_v2 Computer Vision Dataset
3007 Total Images
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Dataset Split
Train Set 87%
2625Images
Valid Set 9%
258Images
Test Set 4%
124Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1800x1350
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -2% and +2%
Brightness: Between -5% and +5%
Exposure: Between -2% and +2%