Our team, Xorbians, hopes to achieve a scalable, deployable, and maintainable Face Detection and Validation product for HackRx. Keeping in mind the above three factors, we surveyed and enlisted state-of-the-art modules supported and backed by Open Source and well-maintained products such as Tensorflow, FastAPI, and OpenCV.
Our goal for this project revolves around memory-efficient high performing models. Each of our models is State-of-the-Art for both speeds as well as memory. We have displayed these in our Problem Statement slides, where we mention our preferred choice of models (best IoU, speed, memory). Even so, the models are expected to be multi-threaded to prevent bottlenecking and allow support for increased resource usage.
We approach the problem statement from the Memory + Performance optimization standpoint, where we are looking to find the optimal solutions for both of them. Our selected models are low memory high performance backed by scientific research in the field of machine learning.
Even so, these models are pre-implemented with a community of more than 1.2 million new users of Tensorfow just in the past decade; we can see a large amount of backing and community it has built. From a maintenance point of view, Tensorflow is one of the two base machine learning libraries in Python, the most used language for AI/ML. This makes product maintenance extremely easy, as multiple people with sufficient knowledge can collaborate on it. Another positive point is the numerous resources and courses available for Tensorflow, which would allow easy training for maintainers.
OpenCV, another technology integrated into the framework, is an image processing tool for Python. Considered the best library, it has an easy learning curve and an abundance of well-documented articles for support.
Finally, our implementation of FastAPI, one of the fastest, best, and popular API frameworks, would also allow easy access and integration in the future.
All three of these base frameworks are open-sourced, backed by a large supporting community, and popular!
1)Face Obstruction Detection - https://www.kaggle.com/ashishjangra27/face-mask-12k-images-dataset
2)Face Spoofing Detection - https://github.com/fernandovinicius/densenet-face-anti-spoofing/tree/c3dfd9c916d3c9b55220252571b3392004c5710b
1)FastApi
2)SteamLit
3)MongoDB
