Computer Vision: Python OCR and Object Detection Quick Starter
Get to grips with optical character recognition, image recognition, object detection, and object recognition using Python
Created by Abhilash Nelson
Explore the essentials of optical character recognition, image recognition, and object detection using Python. You'll get practical experience with popular libraries and pre-trained models, all without needing deep expertise in complex mathematics or deep learning theory.
Packt | Oct 2020 | 281 min
What You Will Learn
You'll start by preparing your Python environment and learning the basics needed for computer vision work. Step-by-step examples and hands-on projects guide you through using pre-trained models for image and object recognition, as well as extracting text from images. Each topic is broken down into manageable parts so you can build skills with confidence.
Key Features
- Set up Python tools and libraries for OCR and computer vision tasks quickly
- Apply pre-trained models to recognize images and detect objects in photos and videos
- Use OCR technology to extract text from images with straightforward Python code
Target Audience
Ideal for beginners and those new to Python who want to explore computer vision, OCR, and object detection. If you're looking to quickly gain practical skills for automating image and video analysis or extracting text from images, you'll find clear guidance and real-world examples to help you get started.
