Birds Images Classification

[abhisheks008]

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Birds Images Classification :red_circle: Aim : Create a ML model which will classify the images of birds. :red_circle: Dataset : https://www.kaggle.com/gpiosenka/100-bird-species :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program and JWOC '22 Open Source Program.

---

📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

---

:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.
• This issue is only for 'SWOC' and 'JWOC' contributors of 'ML-Crate' project.

---

:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Participant ID :
• Approach for this Project :
• What is your participant role?
  • [ ] SWOC 2.0 Participant.
  • [ ] JWOC 2022 Participant.
  • [ ] Contributor

---

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[aryacodez]

Full name : Arya Sarkar GitHub Profile Link : https://github.com/aryacodez Approach for this Project : Applying both deep learning i.e CNN approach and traditional machine learning technique to classify the images. What is your participant role?

• JWOC 2022 Participant.

Can you assign me this project.

[abhisheks008]

Issue assigned to you @aryacodez

[abhisheks008]

What's the update here @aryacodez

[aryacodez]

By 7 pm today everything thing will be ready just run out of GPU so inferencing again.

[abhisheks008]

Great! Waiting for your PR @aryacodez