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This repository contains scripts and resources for training and deploying the acne detection model. It provides a straightforward method for users to utilize transfer learning techniques to build their own acne detection applications.

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NafMn/TFL_ACNE_DETECTION

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TFL_ACNE_DETECTION

This project aims to detect acne using Transfer Learning with TensorFlow.

About

This project utilizes transfer learning, a technique in machine learning where a model trained on one task is re-purposed on a second related task. In this case, we use a pre-trained model as the base and fine-tune it to detect acne on facial images.

Usage

To use this project, follow these steps:

  1. Clone this repository:
    git clone https://github.com/NafMn/TFL_ACNE_DETECTION.git
    
  2. Install the required dependencies:
    pip install -r requirements.txt
    
  3. Run the script for acne detection:
    python detect_acne.py
    

Dataset

The dataset used for training and evaluation can be found at [URL_DATASET]. It contains facial images with annotations for acne presence.

License

This project is licensed under the Approval-Required License (ARL) [LICENSE]. It cannot be used or distributed without permission from the author.

Author

This project is authored by Mohamad Nafis.

For inquiries, you can contact the author via email at [email protected].

About

This repository contains scripts and resources for training and deploying the acne detection model. It provides a straightforward method for users to utilize transfer learning techniques to build their own acne detection applications.

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