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Face Mask Detection with 93% Accuracy

In this period of covid pandemic, wearing masks on face have become crucial than ever before. This is the new norm. To create a statistical analysis of the number of people wearing masks while being in the open, a project to detect facial masks has been developed by Kushal Bhavsar In short, this system can detect whether a person has weared mask on their face or not using object detection approach offered by Deep learning AI framework - Tensorflow.

Who can benefit from this project?

Factories, Industries, Offices and Government agencies can use this system at the entry gate to allow only the people that are wearing a face mask to reduce the spread of Novel Corona Virus.

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Generating High Quality Images using StyleGAN2

GANs are algorithmic architectures that use two neural networks, pitting one against the other (thus the “adversarial”) in order to generate new, synthetic instances of data that can pass for real data. They are used widely in image generation, video generation and voice generation. Their ability to dream up realistic images of landscapes, cars, cats, people, and even video games, represents a significant step in artificial intelligence. Want to know more visit our website:-https://www.qblocks.cloud/

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Magically remove objects, watermarks or expand field of view in Videos

Video completion is the task of filling a given space-time region with newly synthesized content. To properly remove objects and watermarks from a video, the newly generated content should embed seamlessly in the video, and the alteration should be as imperceptible as possible. There are a few challenges associated with video completion, mainly:

To ensure that the result is temporally coherent (does not flicker)

Respects dynamic camera motion as well as complex object motion in the video.

Link to website:- https://www.qblocks.cloud/

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Deep Generation of Face Images Using Sketches