YOLO: Automatic License Plate Detection & Extract text App (Udemy.com)

Some instructions could be a bit outdated, it can bring some problems who isnt easy to solve or adjust for, but a bit of search on internet and in the Q&A sections can solve a lot of those problems. Well, im using a AMD graphics card and i was having a problem to use tensorflow, cuz it use cuda cores, i had to adapt it using tensorflow_directml funcion who microsoft provide, so its working fine. Im looking foward to the rest of the course.

It was the 2nd course I took. I was satisfied with both courses. Especially the data preparation sections are very useful. Of course, it would be better if the codes were explained in more detail. I recommend you to buy.

Excellent course, I think you should add an additional course for creating text reading ORCs without using pytesseract that would be awesome!

The first half of the course teaches how to create an object recognition application starting from the data labeling and all the way to a Flask based Web app. The second half shows how to use the Yolo5 model to get excellent object detection results. The course weakness is in the text extraction. It uses Tesseract and as the lecturer repeatedly says - Tesseract out of the box has a low text extraction success rate. Another problem is the font size for the coding examples is quite small, even on a 24" monitor. However all code is included so you can download it and listen while separately following along. Conclusion: If you're mainly interested in the detect part - This is an excellent course. If you're interested in extracting text from images - you're going to be very disappointed.

Amazing course. It could be better if the instructor could zoom in the screen a bit more so the student could see clearly what you trying to point out or highlight using the cursor.

Pros : Well paced, good intro to yolo and google colabs which I found useful. The course is a practical demo of api calls needed for a working application. Cons : Does not really develop intuition on how to get the best results.

Excellent course, the best thing is the technical support, they answer questions very quickly

This is more an instruction how to set up all tools and libraries rather than a course that will teach you how all those things really work. Maybe it is fine if you have to quickly implement something similar for your studies or work without understanding details. Most of the time is spend on installing software an setup, loading images. The real interesting parts (deep learning & ocr) are left practically with very little comment and no deeper thoughts... A promo price (couple of usd) is a fair deal but definitely I wouldn't pay the regular price for it.

Extremely well made and especially helpful staff in the QnA section with replies within a couple hours at maximum! Well made course and I love it

I changed my review because you clarify that you did not delete my question, that was what bothered me the most and that the one who deleted it was Udemy, I just want to clarify that the fact of saying, that it does not detect the plates is a shame and ridiculous is not in no time a bad word, on the other hand after I finished the course you added 2 new videos that say that the effectiveness of the ocr depends on the tilt angles, and the pixel resolution. Cambié mi reseña porque me aclaras que tú no borraste mi pregunta, eso fue lo que más me molestó y que quien la borró fue Udemy, solo quiero aclarar que el hecho de decir, que no detecte las placas es una pena y ridículo no es en ningún momento una mala palabra, por otro lado después que terminé el curso agregaste 2 nuevos videos diciendo que la efectividad del ocr depende de los ángulos de inclinación, y la resolución de pixeles.