sem_ccb Dataset
Versions
v1
2024-09-09 12:06pm
Generated on Sep 9, 2024
1416 Total Images
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Dataset Split
Train Set 100%
1416Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 320x320
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%