Computer Vision in Practice - Building an End-to-End Pipeline for Object Detection and Segmentation
Toronto Machine Learning Series (TMLS) via YouTube
Overview
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Dive into a comprehensive 2-hour and 15-minute workshop on computer vision, focusing on building an end-to-end pipeline for object detection and segmentation. Learn from industry experts Cody Wang, Data Scientist at The Home Depot, and Ala Eddine Ayad, Data Scientist at LVMH, as they guide you through the Toronto Machine Learning Series (TMLS) presentation. Master image segmentation using state-of-the-art deep learning approaches and customized datasets. Develop skills to construct a complete image segmentation pipeline, including dataset customization, transformation, model training, validation, and testing. Explore post-processing techniques and discover how to convert trained models for mobile deployment using iOS and TensorFlow Lite. Access workshop materials on GitHub to enhance your learning experience and apply your newfound knowledge to real-world computer vision projects.
Syllabus
Computer Vision in Practice - Building an End-to-End Pipeline for Object Detection and Segmentation
Taught by
Toronto Machine Learning Series (TMLS)