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Join this Free Udemy Course to learn Object Detection & Image Classification using Pytorch. Enroll now!
Welcome to the Object Detection & Image Classification with Pytorch & SSD course! In this comprehensive project-based course, you will learn to build multiple object detection systems for various applications, including manufacturing defect detection, waste classification, and road segmentation models, all using Pytorch, Keras, and advanced machine learning techniques. This is an excellent opportunity to blend your programming skills with computer vision and practical software development.
Throughout the course, you’ll begin by grasping the fundamentals of image classification and object detection. The journey starts with an introduction to how these systems operate, from image processing and feature extraction to predictive modeling. You’ll leverage platforms like Kaggle to download datasets, and then dive into hands-on projects. Expect to work with pre-trained models such as Faster R-CNN, YOLOv, and DETR ResNet that facilitate real-time object detection without the hassle of extensive training.
As you progress, you will develop a manufacturing defect detection system to automate quality control processes and a waste classification model to streamline recycling efforts. You’ll even learn how to identify road damage using U-Net for pixel-wise segmentation, providing vital insights for infrastructure maintenance. By the end of this course, you will be equipped with robust skills to test and implement these systems effectively across various input formats, directly contributing to innovations in industries like manufacturing and waste management.
Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!
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