Computer Vision: Python OCR and Object Detection Quick Starter

Learn about optical character recognition, object detection and object recognition with Python

About This Video

• Learn about the optical character recognition technology (OCR).
• Discover convolutional neural network models pre-trained for image recognition
• For object detection, use pre-trained Mask R-CNN models and MobileNet–SSD.

This course is designed to be a quick start for anyone who wants an overview of optical character recognition (OCR), object detection, image recognition, and object recognition using Python.

As you progress, you will use convolutional neural network (CNNs), Keras library, pre-trained models like VGGNet 16 or VGGNet 19 to perform image recognition using sample images. The course then focuses upon object recognition. It teaches you how to use MobileNet–SSD and Mask R–CNN pre-trained models for detecting and labeling objects in real-time video from the computer's internetcam, as well as in saved video. You'll also learn how the YOLO and Tiny YOLO models can speed up the process of detecting an item from a single image.

You will have a solid understanding and confidence in OCR and the methods by the end of this course.