Dataset Versions
v3
3rd_version
Generated on Mar 3, 2024
152 Total Images
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Dataset Split
Train Set 87%
132Images
Valid Set 8%
12Images
Test Set 5%
8Images
Preprocessing
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels