Dataset Versions
Versions
v1
2023-05-17 11:22am
Generated on May 17, 2023
168 Total Images
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Dataset Split
Train Set 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -50% and +50%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each