Dataset Versions
Versions
v3
2024-03-02 9:37pm
Generated on Mar 2, 2024
275 Total Images
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Dataset Split
Train Set 82%
225Images
Valid Set 9%
25Images
Test Set 9%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 5 rows x 5 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%