Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification

In this video, we are going to clean images that we downloaded from google in a way that it is suitable to train our classifier. We mostly identify a person in a photo with a face. Hence we will use opencv and a technique called haar cascades to detect if a face and two eyes are clearly visible or not. If they are than we keep the image otherwise we discard the image. Majority of the data cleaning work will be done using python code but there will be some cleaning work that we will have to do manually.

Special thanks to,
Debjyoti Paul (Amazon Data Scientist): For help with entire project

[adityasinha]

Please build more projects like these..! These are very helpful!

[nishantthakur]

For all the users with the problem error :- Opencv(4.5.5), error(-215 : assertion failed)!_src.empty in function 'cv:cvColor'.
Modify the function as
def
img = cv2.imread(image_path)
if img is not None:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes =
if len(eyes) >= 2:
return roi_color

[AlonAvramson]

This is a great tutorial, thank you for your generosity and clear explanations. The project videos provide a wider view on how to use and implement the models in a very practical way and expose to us additional practical tools.

[siddharthvarma]

Hi Dhaval,
Although, you made this project series in a pretty explanatory way and I hope everybody likes this series but It would be better if you could explain more about the arguments that you feed to libraries's attributes. I hope from the next project series you would focus more on that part.

[sultanhusnoo]

Hello Sir, you are an amazing teacher and I am very honoured to learn from you. You have a really good heart to be working so so hard to help us all on this platform and I hope you keep going and you stay in good health to enjoy a long happy life for helping out so many people. Thanks for all the hard work.

[arulsebastian]

"What is this guy doing in serina's folder?". I like the comment :-). Thanks for the video.

[siddharthsingh]

Amazing tutorial Sir, going through the playlist from last 15 days. Thnx a lot, truly appreciate your time and effort !!!!

[bright]

Clear instruction, easier to understand. Love how you teach, thank you a lot for providing us free and high quality lesson.

[bhaskargg]

your effort & time to explain the project is superb, many thanks for sharing your knowledge to the data science community 🙏

[urvipasad]

Very simple and easy to understand.You are really awesome teacher. Thanks a lot for all your tutorials.

[Chinarkashmirmusic]

Hey, hope you are doing fine. Here is a suggestion, show us how to tackle problems during projects that will give us a proper understanding of projects. Choose big projects on different algorithms. Share your personal experience in that way you can increase the content of your channel and we can also learn more from you. Make projects on different topics

Right now Data science is growing and more people want to become a data scientist. You have covered basics now you have to show us

how to deal with projects?
What should be your goal when you get any dataset?
What to do, what not to do?
Why you require this or that?
Protocols?
How to approach a dataset
How to solve it.

I hope you will do it because these are the things i personally face right now.

I admire only you and krish naik.

[vikashkumarchaurasia]

Awesome projects . Please bring some similar projects on this channel in future. Thanks a lot

[basotra]

When I started watching this video, and I didn't know that you will use OpenCV library, so I purchased a course of OpenCV from Udemy and completed it and then I watched this video, then it was very easy for me to understand all the functions you implemented in this video. CHEERS!!!

[Gurur_shots]

Very easy to understand for those guys who also have basic knowledge of opencv...
But In my point of view very very great video sir ❤❤❤

[mudasserqayyom]

Hello Sir, you are great teacher and your way of teaching is amazing. Thank You so much for your all hard work.

[ABHISHEKGAUTAM]

Sir i like your process of explaining every things in a simple way. Keep up the good work and your valuable time.

[sonamchauhan]

Thank you so much sir for teaching such concepts in easy language for free of cost !!

[AlonAvramson]

I would be happy to see a video on using a model with REST-API, that could be very useful.

[sourabhpranborah]

Sir, Please do a guided project on stock prediction.

[santoshikalaskar]

thank u sir for this video series, i also working on Image Processing using Opencv & YOLO, this series is helped me a lot.