MVTec Software GmbH

Image Classification

In image classification, objects are assigned to one or more categories based on previously defined properties. The objective is to get a decision about the category of the individual image. This technology is used, for example, for inspection tasks in quality control.

Deep-learning-based image classification with MVTec HALCON allows to easily assign images to trained classes without the need of specially labeled data – a simple grouping of the images after data folders is sufficient. Thus, the labeling and developing effort is low, what enables particularly short set-up times. Moreover, applying the classifier to new data is especially fast. Additionally, the error rates compared to manually handled inspection tasks are significantly low.

Example Images

Industry camera images of fruits
Classification of natural products
Industy camera image of pills
Quality Inspection of pills

Learn more about the other methods:

Object Detection   Semantic Segmentation   Anomaly Detection