Dataset Versions
v2
2 classes dropped
Generated on Mar 29, 2024
2760 Total Images
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Dataset Split
Train Set 90%
2484Images
Valid Set 5%
144Images
Test Set 5%
132Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -19% and +19%
Exposure: Between -9% and +9%