Deep Learing in MERLIC
In machine vision, deep learning enables an increasing number of applications that weren’t possible before. Moreover, the performance of existing applications can be significantly improved. Especially in the field of data classification, deep learning is a very efficient technology.
MVTec software MERLIC offers a large selection of operators, functions and methods that either are based on deep learning technologies or allow customers to use deep learning technologies in their own applications.
Deep learning methods in MERLIC
With the Deep Learning Tool, you can easily label your data thanks to the intuitive user interface – without any programming knowledge. This data can be seamlessly integrated into MERLIC to perform deep-learning-based object detection, classification, semantic and instance segmentation, anomaly detection and Deep OCR.
Certain requirements are necessary to be able to use the above-mentioned technologies. The following table shows what is needed to use deep learning in MERLIC.
| Technology | Model training in DLT required? | MERLIC Deep-Learning-AddOn required? |
| Classification | ✔ | ✔ |
| Anomaly Detection | X | ✔ |
| Anomaly Detection in the Global Context | ✔ | ✔ |
Object Detection Instance Segmentation | ✔ | ✔ |
| Segmentation | ✔ | ✔ |
| Deep OCR | X | X |
| Deep Counting | X | X |