[Update] : Update the Image Classification Model

[AKACHI-4]

Hey 👋, I am a Hacktoberfest'23 contributor

What ?

I would like to contribute in image classification model to this project. It will help categorize images based on their content, making it easier to search and organize visual data.

• Algorithm

Tell us about the algorithm you will use for model.

• Dataset

Feel Free to discuss the dataset you want to use.

Code of Conduct

• I agree to follow this project's Code of Conduct

Kindly assign it to me under HacktoberFest'23
I will surely complete it ASAP

Thank You

[GitHoobar]

Hey @AKACHI-4 I have previously worked on Image Classification using Neural Networks.
I can start the work by using the libraries such as- TensorFlow,OpenCv etc.
Later I can build a Neural Network using Sequential layering it with Dense,Flatten,MaxPool etc
Can you assign this to me under Hacktober Fest

[AKACHI-4]

Hey @GitHoobar, Yah go ahead...
happy that you're interested. don't forget to add notes in the notebook so that others can also understand it...

[GitHoobar]

Ya Surely.
Can you help me as this will be my very first open source contribution.

[AKACHI-4]

Ya Surely. Can you help me as this will be my very first open source contribution.

Yeah, sure! Feel free to ask your doubts...

If you are new to open source and contributions, we encourage you to start by contributing here to get the basics of it: https://github.com/OpenCodeEra/First-Contribution

[GitHoobar]

How can I fork the image classification repo, or if I want to create a new notebook then?

[GitHoobar]

also can I take any dataset like a set of different images from the web...

[AKACHI-4]

How can I fork the image classification repo, or if I want to create a new notebook then?

Hey, each model is not a separate repo. You have to fork the full ML-X repo, and then you can start working on the Image Classification's notebook.

[AKACHI-4]

also can I take any dataset like a set of different images from the web...

Yeah, you can. You have flexibility in this, but it depends on you. coz then you have to preprocess the data first as per its complexity.