Computer Vision – Object Detection on Videos – Deep Learning

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Price: 109.99$

Welcome to the Object Detection on Videos – Deep Learning course that provides an end-to-end coverage of Machine Learning on videos through Video analytics, Object Detection and Image Classification. It is a complete hands-on tutorial that teaches how to implement Video Analytics using the 3-step process of Capture, Process and Save Video, understand various Object Detection Models and implement them for a real-time case study of Social Distancing and last but not the least, take a deep dive into steps involved in using Deep Learning Models, Transfer Learning and learn how to create a model on face mask detection using Image Classification and leverage it to implement a solution of face mask detection. This course is a must-have for all the developers in machine learning domain because of: Dedicated In-Course Support is provided within 24 hours for any issues faced Line-By-Line Code Walkthrough for object detection implementation on videos and training a model for image classification Comprehensive Coverage of Object Detection and Image Classification Models Working source code for People Footfall Tracking and Automatic Parking Management project Here is the list of  key topics and projects we will be learning: Video Analytics Architecture Euclidean Distance Object Detection Models – Haar Cascade, HOG, Faster RCNN, R-FCN, SSD, YOLOObject Detection Model Implementation on Videos with Haar Cascade, HOG and YOLOImage Classification Training Image Classification Model on Google Colab Image Classification Implementation on Videos with Trained Inception V3 Model Object Tracking with SORT Framework People Footfall Tracking Solution Automatic Parking Management Solution