Image classification with Python and Scikit learn | Computer vision tutorial

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#computervision #imageclassification #python

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ComputerVisionEngineer

Philipp did an excellent job at explaining all the details of sklearn. Thank you for sharing your knowledge-)

philippe

you're the best Felipe! short videos straight to the point, great explanations

valnuke

This an amazing tutorial. Great job Felipe!

nazarmerza

ultimate teaching style, this was the best computer vision introduction tutorial I have ever seen on youtube as it was very easy to understand, thanks a lot Philip!!

John-xiim

The way you explained this topic is amazing, I enjoyed watching the video and I didn't even feel the length of it.

imadsaddik

AWESOME! Made my first working ML model. Thank you so much!!!!

the.patricklong

Thank you very much, Felipe, for these very clear explanations. Until now, I was making predictions for numerical values. Before watching your videos, I thought image classification was more complicated (even though this is a relatively straightforward use case). I have just one perhaps silly question: How did you create the image captures for the dataset? Was it done manually, or did you use specific software for this somewhat tedious task? Thanks again!

Akios

Thank you, very clear and easy to follow tutorial

pqhdhri

I love the explanation and you helped me so much!

abdvi

Thank you so much for this Video. Makes fun and have learning effect.

matthiasandreas

Thank you so much for your time, you did a great job.

hamzawi

Your tutorial is very cool, thank you very much for helping me with your tutorial

idkhyul

Thanks a lot for your content Felipe, you're a great teacher! I'm new to machine learning so there's one thing that confuses me: how can I now utilize the the model that I've created? I understand that Pickle transforms the data into byte form and that it can be read somehow, but could you give me an example of what to now do with this data?

HaxeHere

Thumbs up for this video. I just noticed a small mistake . I think you accidentally switched the parameters for the accuracy_score function. It should be accuracy_score(y_test, y_prediction) instead of accuracy_score(y_prediction, y_test).

saketolfa

This is really anazing.can you make a video on how to apply GAN and use it or make it from scartch?

rakeshkumarrout

Could you release the data of empty and not empty for us? Thank you very much for your amazing tutorials on OpenCV and Machine Learning. It is beneficial for me to construct my own project!

fnkgglv

Amazing job Felipe, you are helping me so much on my studies! I'm from Brazil and I will definitely use your videos to help on my completion of course work

guilhermegodoi

A great session by you sir, sir pls also share the code to input a photo in it and put it in the trained model to show the results of analysation

shivammehta

Thank you for a great clear video. I am going to run it through. Yet something is missing for me: I would like to train a set of specific toy car recognition. For that I need to take pictures of the toy car, and pictures of the floor/table (where the car can be placed) for the "empty' part. Can you recommend: 1) how many pictures of each? 2) What resolution? does it matter? 3) Any other guide line you would recommend?

YigalBZ

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