What you’ll learn
-
Learn about Pillow Library in Python which is used for working with image data and perform various image manipulation steps.
-
OpenCV for image preprocessing in Python.
-
Learn about Pytesseract which is an Optical Character Recognition (OCR) tool for python. It will read and recognize the text in images, license plates, etc.
-
You will learn to use Machine Learning for different OCR use cases and build ML models that perform OCR with over 90% accuracy.
-
Build different OCR projects like License Plate Detection, Reading text from images etc…
Who this course is for:
- Python developers who are curious about Optical Character Recognition (OCR).
- People from Data Science and Machine Learning background who want add a new skill of OCR in their resume.
- Anyone who wants to learn about OCR.
Similar Course Coupons
Can I download Optical Character Recognition (OCR) MasterClass in Python course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Optical Character Recognition (OCR) MasterClass in Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.