[Model Enhancement]: Electron Microscopy Particle Segmentation

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : [Model Enhancement]: Electron Microscopy Particle Segmentation
:red_circle: Aim : The aim is to enhance the existing DeepLabv3+ and UNet models to acheive the accuracy score >95%.
:red_circle: Dataset : Already present in the project folder.
:red_circle: Approach : Need to implement one or two better models/algorithms for this existing project - Electron Microscopy Particle Segmentation

---

📍 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.

---

:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Email ID :
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program)

---

Happy Contributing 🚀

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

[Shravya016]

Full name : shravya pamu GitHub Profile Link : https://github.com/Shravya016 Email ID :ss9599@srmist.edu.in Participant ID (if applicable):NA Approach for this Project : to increase the accuracy I can use models like mask R-Cnn and EfficientNet and try to achieve accuracy scores above 95percent What is your participant role? (Mention the Open Source program): gssoc'24 contributer

[abhisheks008]

Cool! Assigned to you @Shravya016. Make sure you make your changes in the existing project folder only, no need to create a separate folder.

[Shravya016]

okay, thankyou.