April 15, 2020 | Tutorial, HALCON

HALCON's deep-learning-based object detection 1: introduction & preparation of the dataset

In the first part of this tutorial series on HALCON's object detection, you will learn what object detection actually is, and what kinds of applications it can be used for.

Then, we will take a look at the first program of an HDevelop example series on object detection. Within this program, we will have a look how to read in a dataset that you labeled, for example, with the MVTec Deep Learning Tool. Afterward, we will split this dataset and 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.

Video

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Watch our other videos about HALCON's Deep-Learning-Based Object Detection:

2. Train a model

3. Evaluate the Trained Model

4. Apply the Model (Inference)

Published on: April 15, 2020

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