Bottels2 Computer Vision Dataset
Versions
381 Total Images
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Dataset Split
Train Set 94%
357Images
Valid Set 4%
16Images
Test Set 2%
8Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Shear: ±8° Horizontal, ±4° Vertical
Blur: Up to 2.75px
Noise: Up to 7% of pixels
Cutout: 3 boxes with 20% size each