Deep Learning Tool
Labeling training data is the first crucial step towards any deep learning application. The quality of this labeled data plays a major role when it comes to the application's performance, accuracy, and robustness.
With the MVTec Deep Learning Tool, we are creating a comprehensively smooth deep learning experience for HALCON users. By developing our own solution, we make sure that its output can seamlessly be integrated into HALCON. This application also allows us to incorporate our extensive experience and expertise that we acquired while developing HALCON's deep learning algorithms which – naturally – involved a lot of labeling, too.
Working with the MVTec Deep Learning Tool
The current version of the Deep Learning Tool (0.1) provides labeling functionality for HALCON's deep-learning-based axis-aligned object detection. This labeling is done by drawing axis-aligned rectangles around each relevant object and by providing information about their corresponding classes.
Labeling functionality for HALCON's deep-learning-based classification and semantic segmentation, as well as the possibility to label data for object detection with oriented bounding boxes, will be added in the next versions of the MVTec Deep Learning Tool. To help you label data for these deep learning technologies, we continue to provide the known Deep Learning Helpers.