Free Certification Title Name: Computer Vision: Python OCR & Object Detection Quick Starter
Quick Starter for Optical Character Recognition, Image Recognition Object Detection and Object Recognition using Python.
- A decent configuration computer (preferably Windows) and an enthusiasm to dive into the world of OCR, Image and Object Recognition using Python.
What you’ll learn:
- Optical Character Recognition with Tesseract Library, Image Recognition using Keras, Object Recognition using MobileNet SSD, Mask R-CNN, YOLO, Tiny YOLO from static image, realtime video and pre-recorded videos using Python.
Welcome to my new course ‘Optical Character Recognition and Object Recognition Quick Start with Python’. This is the third course from my Computer Vision series.
Image Recognition, Object Detection, Object Recognition and also Optical Character Recognition are among the most used applications of Computer Vision.
Using these techniques, the computer will be able to recognize and classify either the whole image or multiple objects inside a single image predicting the class of the objects with the percentage accuracy score. Using OCR, it can also recognize and convert the text in the images to machine-readable formats like text or a document.
This course will be a quick starter for people who want to dive into Optical Character Recognition, Image Recognition and Object Detection using Python without having to deal with all the complexities and mathematics associated with typical Deep Learning process.
Who this course is for:
- Beginners or who wants to start with Python-based OCR, Image Recognition and Object Recognition.
This course includes:
- 4.5 hours of on-demand video.
- 2 articles.
- Full lifetime access.
- Access on mobile and TV.
- Certificate of Completion.
Created by Abhilash Nelson
How to Subscribe For Computer Vision: Python OCR & Object Detection Quick Starter?
- Sign Up on Udemy.com
- Subscribe Here(Computer Vision: Python OCR & Object Detection Quick Starter): Click Here
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