From the course: Deep Learning and Computer Vision: Object Detection with PyTorch
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PyTorch for deep learning, part 2 - PyTorch Tutorial
From the course: Deep Learning and Computer Vision: Object Detection with PyTorch
PyTorch for deep learning, part 2
- [Speaker] Welcome back. In the previous video, we built and trained a basic neural network using PyTorch. Now, we will take the next step further by using PyTorch to overcome a more complex task that is object detection. Object detection involves not only identifying objects within an image, but also locating them by drawing bounding boxes. So what is object detection? Object detection is the process of recognizing objects in an image and locating them by drawing bounding boxes around each object. Unlike image classification, which only tells us what's located in an image, object detection gives us both the type of object and is exact position. For example, in a self-driving car, object detection helps the autonomous car detect pedestrians, vehicles and traffic signs. Ensuring safe navigation. Building an object detection model from scratch using PyTorch is very easy because it provides access to several pre-trained models. Today, we'll see how to use faster RCNN, a popular object…
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