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Corporate Bridge Consultancy Private Limited
Project on Machine Learning - Covid19 Mask Detector
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Training 5 or more people ?
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To address these challenges, an automated system for face mask detection using deep learning (DL) algorithms has been proposed to control the spreading of this infectious disease effectively. Distinct methods using machine learning and deep learning can be used effectively. In this course, all the essential requirements for such a model have been studied. The need and the structural outline of the proposed model have been discussed extensively, followed by a comprehensive study of various available techniques and their respective comparative performance analysis. Further, the pros and cons of each method have been analyzed in depth. Subsequently, sources of multiple datasets are mentioned. The several software needed for the implementation is also discussed. And discussions have been organized on the various use cases, limitations, and observations for the system, and the conclusion of this paper with several directions for future research.
Extraction of features is a way to get rid of unnecessary information from the data, thereby reducing the computational cost and still having imperative and relevant data reserved. Also, the reduced data helps increase the model’s learning rate. Moreover, real-time face mask detection leverages machine learning and deep learning techniques for feature extraction. In deep learning, neural networks themselves facilitate extracting features without human intervention.
This course has some pre-requisite to ensure that the candidates who enroll for it are well prepared to understand the course material. The pre-requisite is not too long and is also possible that a student can take a bridge course if pre-requites are not met.
Check out the detailed breakdown of what’s inside the course
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