Automated image labeling helps to reduce the cost and time that it takes to label your dataset. MATLAB significantly reduces the time required to preprocess and label datasets with domain-specific apps for audio, video, images and text data. Whether you train your models in MATLAB or Python, we support your entire image processing and AI workflow, from acquisition to deployment.
In this session we show you how to use apps for labeling image and video data to build AI models. We explore preprocessing to facilitate feature extraction and present approaches to building models in an iterative fashion, validating predicted labels and incorporating on-the-fly models to label large datasets. We also discuss an approach to automating pixel-level labeling for semantic segmentation workflows.