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abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
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Blood Cell Detection using DL #238

Open abhisheks008 opened 1 year ago

abhisheks008 commented 1 year ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Blood Cell Detection
:red_circle: Aim : Create a model which will detect the blood cells.
:red_circle: Dataset : https://www.kaggle.com/datasets/adhoppin/blood-cell-detection-datatset
: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.

📍 Follow the Guidelines to Contribute in the Project :

:red_circle::yellow_circle: Points to Note :

:white_check_mark: To be Mentioned while taking the issue :

Happy Contributing 🚀

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

rafiya2003 commented 1 year ago

I would like to work on this, frankly I don't know much but I will learn and do. I am a newbie(first year UG student). I want to learn and grow

Abhinavcode13 commented 1 year ago

Please assign this issue to me @abhisheks008 I have good knowledge in machine learning and python libraries like NumPy pandas etc

abhisheks008 commented 1 year ago

Please do not to spam in every single issue. This might cause escalation as you are breaching Code of Conduct and Contribution Guidelines.

@rafiya2003

abhisheks008 commented 1 year ago

Please assign this issue to me @abhisheks008 I have good knowledge in machine learning and python libraries like NumPy pandas etc

Please comment with proper details as per the issue template. @Abhinavcode13

Sagar201003 commented 1 year ago

I can work on this project . Believe me , I will try my 100% .

FullName: Sagar Santoshkumar Shukla Github Profile Link: https://github.com/Sagar201003 Email ID: shuklasagar201003@gmail.com

Approach for this Project: I will perform EDA , feature selection , PCA , Data augmentation . I will use Pycaret to get the best model . Implement the models using TensorFlow or PyTorch.

What is your participant role? -SSOC contributor

abhisheks008 commented 1 year ago

As per the code of conduct and contribution guidelines, one issue at a time for each contributors.

@Sagar201003

jatinsahani commented 1 year ago

Full name : Jatin Sahani GitHub Profile Link : https://github.com/jatinsahani Email ID : sahanijatin00@gmail.com Participant ID (if applicable): Approach for this Project :

There can Three approaches for the detection of Blood Cell; that are:
-Region Based Convolutional Neural Network

As YOLO is 3x faster than then R-CNN, I guess using it will be one of the best move. We can also note that the dataset provided is already Processed for YOLO.

I am new to this field but I have bookish Knowledge, My practical knowledge is null but I would love to do this Project Hope to learn and grow

What is your participant role? SSOC Contributor

abhisheks008 commented 1 year ago

Issue assigned to you @jatinsahani

jatinsahani commented 1 year ago

Issue assigned to you @jatinsahani

Thank You

jatinsahani commented 1 year ago

Acknowledged

On Fri, 2 Jun 2023 at 09:47, Abhishek Sharma @.***> wrote:

Assigned #238 https://github.com/World-of-ML/DL-Simplified/issues/238 to @jatinsahani https://github.com/jatinsahani.

— Reply to this email directly, view it on GitHub https://github.com/World-of-ML/DL-Simplified/issues/238#event-9410032546, or unsubscribe https://github.com/notifications/unsubscribe-auth/AYQFEDQ7VORTHHVK3FRFPVTXJFSO5ANCNFSM6AAAAAAYKTNN2Q . You are receiving this because you were assigned.Message ID: @.***>

mattiaferrarini commented 7 months ago

Hi, I'd like to work on this issue. Here's the details:

Full name : Mattia Ferrarini GitHub Profile Link : https://github.com/MattiaFerrarini Email ID : mattiaferrarini22@gmail.com Participant ID (if applicable): Approach for this Project : Perform EDA, data augmentation and preprocessing. Employ various models, including Faster R-CNN, YOLO, SSD, RetinaNet and possibly others. Compare the models based on accuracy. What is your participant role? (Mention the Open Source program) SWOC 2024

abhisheks008 commented 7 months ago

Assigned @MattiaFerrarini

mattiaferrarini commented 7 months ago

Dear Abhishek, unfortunately I am not able to keep working on the issue because of academic duties. You can assign it to someone else. I'm sorry for wasting your time.

abhisheks008 commented 7 months ago

No issues @MattiaFerrarini

Sneha-Mahata commented 4 months ago

Hello, I would like to work on this task. The details hereby:

Full name : Sneha Mahata GitHub Profile Link : https://github.com/Sneha-Mahata Email ID : mahatasneha4@gmail.com Participant ID (if applicable): NA Approach for this Project : I plan to approach this project by conducting an exploratory data analysis, implementing multiple object detection models such as YOLO, Histogram of Oriented Gradients (HOG), Single Shot Detector (SSD), Faster R-CNN etc. I will tune the hyperparameters, employ data augmentation techniques, and evaluate the models using appropriate metrics. After comparing the accuracies among these models, I will select the best-suited one as my final model. The entire process will be documented in the README.md file. What is your participant role? GSSOC 2024 Contributor

abhisheks008 commented 4 months ago

Issue assigned to you @Sneha-Mahata. You can start working on it.

Sneha-Mahata commented 4 months ago

Issue assigned to you @Sneha-Mahata. You can start working on it.

Thanks a lot, I'm excited to work on it !