Deep Learning / Software

MVTec
In this example, a GMM-based model is used for simple fruit classification. The selected features are object circularity and area, though additional features such as color could be added to improve robustness. The key point is that the classifier can be trained and tuned with relatively little manual effort, making it a practical option for straightforward sorting or inspection tasks. (Images and test algorithms copyright MVTec.)
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