License Plate Detection and OCR Web App with TensorFlow and Flask

Learn to build a deep learning computer vision pipeline, extract text with OCR, and deploy your model as a functional web application using Python.

4.4 (317) ⏱ 52 min 📚 10 aralin 🎧 Audio version

Tungkol sa kursong ito

Computer vision and text extraction are transforming industries, but bridging the gap between a trained model and a working web application can be challenging. This course guides you through the entire process of building an intelligent license plate recognition system from scratch. You will transition from understanding basic image processing concepts to constructing a complete deep learning pipeline. Through detailed written explanations and structured code exercises, you will learn how to prepare image data, train an object detection model to locate license plates, perform Optical Character Recognition (OCR) to read the text, and bundle everything into a clean web interface. What you'll learn: - Understand the fundamentals of image preprocessing and annotation for computer vision. - Train a deep learning object detection model using TensorFlow to locate regions of interest. - Apply OCR techniques to accurately extract text from detected license plates. - Build a web application backend using Flask to handle image uploads and model inference. - Design a responsive user interface using HTML and Bootstrap to display detection results. - Implement modern API design principles to cleanly connect your deep learning pipeline with the frontend. The journey begins with core computer vision definitions and data labeling techniques before moving into model training and evaluation. Finally, you will connect your trained model to a web backend, creating a cohesive, end-to-end application. This course is designed for beginners interested in computer vision and web development. No prior experience with deep learning or web frameworks is required, as we start with foundational concepts. Start reading today to build your first intelligent web application.

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Mga review (7)

Bruna Vasconcelos BR Verified learner
★ 5 · 2026-03-22T02:09:55+00:00

Really enjoyed the flow of this. The practical applications discussed were spot on. Great course!

عبدالرحمن بن عبدالله بن علي آل ثاني QA Verified learner
★ 5 · 2026-03-09T11:58:55+00:00

Fantastic course. The examples used were spot on and really helped solidify the concepts. My understanding has improved dramatically.

Ruby Owens NZ Verified learner
★ 5 · 2026-03-06T07:51:55+00:00

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

Дмитрий Кузнецов RU
★ 4 · 2026-01-15T10:20:55+00:00

Exceeded my expectations! The structure was logical, and the real-world scenarios really helped cement the learning. Great value.

Orhan Sönmez TR Verified learner
★ 4 · 2026-01-14T04:33:55+00:00

Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!

Ryan Richardson AU Verified learner
★ 3 · 2025-08-24T05:49:55+00:00

It's a decent introduction. Could benefit from more diverse examples and a slightly better flow between modules.

Kiss Judit HU Verified learner
★ 4 · 2025-07-09T06:20:55+00:00

Solid content and presented clearly. I appreciated the real-world applications shown. Could have used a few more practice opportunities.

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