Classification 1: Introduction and Preparation of the Dataset – HALCON Deep Learning

In the first part of this tutorial series on deep-learning-based classification with MVTec HALCON, you will learn what classification actually is, and what kinds of applications it can be used for. Then, we will have a look at the first program of an HDevelop example series on HALCON classification. Within this program, we will learn how to read and split a dataset. Next, we preprocess the labeled data to be suitable for the deep learning model. Then, you will be ready for training, which we will learn about in the next video. 0:00 Intro 0:22 Introduction of the technology 1:20 Working with the HDevelop example classify_pill_defects_deep_learning_1_preprocess.hdev 1:53 Read the dataset 2:33 Split the dataset for training, validation, and testing 3:30 Preprocess the dataset In this video, a pre-release version of HALCON 21.05 is used. www.mvtec.com www.halcon.com