Deep Learning Based Lip Detection System
Budget: $30 – $250 USD
I'm looking for a capable developer well versed in the Python programming language along with a deep understanding of Convolutional Neural Networks (CNN) and image processing libraries such as dlib.
The main objective of the project encompasses:
* Detecting lips from numerous images,
* Implementing HoG SVM to save frames of various emotions like smiling and anger,
* Applying it on CNN for both training and testing in a Jupyter Notebook interface.
Key bidders should be proficient in:
* Python Programming: Dlib, CNN, and Jupyter notebook are platforms you should be familiar with.
* Machine Learning: Proficiency in CNN model training, testing, and tuning is crucial.
* Image Processing: Ability to work with large datasets of images and extract the specific frames.
The performance of the created model will mainly be evaluated on its accuracy, so a keen focus should be on optimizing the model to achieve the highest possible accuracy rate.
The main objective of the project encompasses:
* Detecting lips from numerous images,
* Implementing HoG SVM to save frames of various emotions like smiling and anger,
* Applying it on CNN for both training and testing in a Jupyter Notebook interface.
Key bidders should be proficient in:
* Python Programming: Dlib, CNN, and Jupyter notebook are platforms you should be familiar with.
* Machine Learning: Proficiency in CNN model training, testing, and tuning is crucial.
* Image Processing: Ability to work with large datasets of images and extract the specific frames.
The performance of the created model will mainly be evaluated on its accuracy, so a keen focus should be on optimizing the model to achieve the highest possible accuracy rate.