Dog Face Detection using DL

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Dog Face Detection :red_circle: Aim : Aim is to create a DL model which will identify the images of the faces of the dogs from the given dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/wutheringwang/dog-face-detectionyolo-format :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.

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📍 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.

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: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.

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: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)

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Happy Contributing 🚀

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

[NirmalKAhirwar]

please asigned this task to me. Dog Face Detection using DL #240

FullName: Nirmal Kumar Ahirwar Github Profile Link: https://github.com/NirmalKAhirwar Email ID: [email protected]

Approach for this Project: 1] Perform exploratory data analysis on the dataset. 2] Apply data augmentation techniques to the dataset using the Albumentations Python library. 3] Create different deep learning models for Dog Face (object detection), such as YOLOv8, Detectron, and CNN models like VGG, EfficientNet. 4] Compare the performance of all models using accuracy metrics and perform hyperparameter tuning to achieve higher accuracy on the test dataset. 5] Implement the models using TensorFlow or PyTorch.

What is your participant role? -contributor at Social Summer of Code (SSOC), Season-2

[abhisheks008]

According to the Code of Conduct and Contribution Guidelines, one contributor can be assigned one issue at a time.

[Devangini01]

please assign this task to me. Dog Face Detection using DL

FullName: Devangini Shinde Github Profile Link: https://github.com/Devangini01 Email ID: [email protected] Approach for this Project: 1] Perform exploratory data analysis on the dataset. 2] Apply data augmentation techniques to the dataset. 3] Create different deep learning models for Dog Face (object detection), such as YOLOv8. 4] Compare the performance of all models using accuracy metrics and perform hyperparameter tuning to achieve higher accuracy on the test dataset. 5] Implement the models using TensorFlow or PyTorch.

What is your participant role? -contributor at Social Summer of Code (SSOC), Season-2

[Sagar201003]

I can work on this project also , but I will take some time .

FullName: Sagar Santoshkumar Shukla Github Profile Link: https://github.com/Sagar201003 Email ID: [email protected]

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]

Issue assigned to you @Sagar201003

[Sagar201003]

Hi , ye issue ke liye kitna time hai mere pass ?

On Thu, 1 Jun 2023 at 20:52, Abhishek Sharma @.***> wrote:

Issue assigned to you @Sagar201003 https://github.com/Sagar201003

— Reply to this email directly, view it on GitHub https://github.com/World-of-ML/DL-Simplified/issues/240#issuecomment-1572260370, or unsubscribe https://github.com/notifications/unsubscribe-auth/A2QK5HWHW7MSDEPZLRUFDWDXJCXVFANCNFSM6AAAAAAYKTO7QQ . You are receiving this because you were assigned.Message ID: @.***>

[abhisheks008]

Hi , ye issue ke liye kitna time hai mere pass ? … On Thu, 1 Jun 2023 at 20:52, Abhishek Sharma @.> wrote: Issue assigned to you @Sagar201003 https://github.com/Sagar201003 — Reply to this email directly, view it on GitHub <#240 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/A2QK5HWHW7MSDEPZLRUFDWDXJCXVFANCNFSM6AAAAAAYKTO7QQ . You are receiving this because you were assigned.Message ID: @.>

Well usually each issue has to be done withing 9-10 days. But as you people are beginner you can take upto 15 days for solving each issue.

[Sagar201003]

Ok , i will try my best .

[praggyaverma]

Hi! I would like to work on this classification project!

Full name : Praggya Verma GitHub Profile Link : github.com/praggyaverma Email ID : [email protected] Participant ID (if applicable): Approach for this Project :

1. Perform EDA on the dataset.
2. Apply data augmentation techniques to the dataset.
3. Create different deep learning models for Dog Face.
4. Compare the performance of all models using accuracy metrics and perform hyperparameter tuning
5. Implement the models using TensorFlow or PyTorch.

What is your participant role? SWOC Season 4 Contributor

[abhisheks008]

Implement at least 2-3 deep learning methods/models for this project and find out the best fitted model according to the accuracy scores respectively. Issue assigned to you @praggyaverma

[Rithish5513U]

I like to work with this project. Please assign this to me

Full name : Rithish S GitHub Profile Link : https://github.com/Rithish5513U Email ID : [email protected] Approach for this Project :

1. I will perform Exploratory Data Analysis on first.
2. Then I will go for data augmentation techniques for the given dataset.
3. Then I try to create models for detecting the dog faces.
4. Next I will compare the performances of different models using accuracy metrics and hyperparameter tuning.
5. Finally I will implement the model using TensorFlow.

Participant role : GSSOC Contributor

[abhisheks008]

Can you elaborate the models which you are planning to use here?

[Rithish5513U]

I will use CNN architectures such as AlexNet, ResNet, etc., for image recognition tasks. Then, I'll employ transfer learning with models like VGG-16, fine-tuning them for the specific task of dog face detection. Data augmentation techniques will be applied to enhance efficiency by increasing the diversity of the training data. Next, I'll create models using suitable techniques, leveraging the power of convolutional neural networks and transfer learning. After model creation, I'll evaluate their performance using various evaluation metrics and employ hyperparameter tuning techniques to optimize model parameters for better accuracy and generalization. Finally, I'll implement the chosen models using TensorFlow, ensuring efficient training and deployment processes.

I like to work in the following and I love to do this project. Please assign it to me

[abhisheks008]

Nice approach. Issue assigned to you @Rithish5513U