Detecting Faces about dl-simplified HOT 10 OPEN

Hey there ! Can I work on this issue ? I would like to contribute to this .

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What is your participant role? (Mention the Open Source program)

Please mention the credentials. @AbhishekRP2002

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Full name : Abhishek Ranjan Prusty
GitHub Profile Link : https://github.com/AbhishekRP2002
Email ID : [email protected]
Participant ID (if applicable):
Approach for this Project : This model that we will use for Face detection will be Multi-task Cascaded Convolutional Networks (MTCNN), which is essentially several convolutional networks strung together that give out several pieces of information. The neural network is expected to detect individual faces, and locate facial landmarks (i.e. two eyes, nose, and endpoints of the mouth), along with drawing a bounding box around the face. We will use OpenCV to open, read, write, and show images.
What is your participant role? (SSOC 2022)

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Issue no: #8 Detecting Faces
Full Name : Sahana B Kanteppagoudra
Github profile link: https://github.com/Sahana915
Participation role : SSOC 2022
Approach: I will try out by using variety of DL algorithms like Haar Cascade or I'll go by using HOG based detector in dlib .

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Assigned to @AbhishekRP2002. @Sahana915, you can choose other issues; we assign issues based on FCFS.

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I am sorry to say that @AbhishekRP2002 has already assigned an issue, complete that one first. This issue is assigned to @Sahana915.

@AbhishekRP2002 Do not comment out in other issues while you have already assigned to an issue. Finish that first, then take other issues.

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@Sahana915 updates please.

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Updates please @Sahana915

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Full name: Akshat Singhal
GitHub Profile Link : https://github.com/Singhal-Akshat
Email ID: [email protected]
Approach for this Project: I will use MTCNN and OpenCV, along with a comparison with the Haarcascade method, for MTCNN will use Dlib.
What is your participant role? SSOC (2023)

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Issue assigned to you @Singhal-Akshat

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