Real-Time Pornography Censorship with TensorFlow2 & WebRTC

Tensorflow Object Detection is one of many Artificial Intelligence (AI) technology that grow rapidly in recent years. Its abilities gives our computer and devices the capability to recognize objects with image processing method. It has been so popular recently and has various usages in our daily lives. For example, object detection is often used in robotics, health care, military, game and other modern tools. However, it’s quite challenging to successfully implement this technology as so much miscalculation might occur. One single mistake can jeopardize the whole processes, which is tiring and time consuming. Beginners that attempt this challenge usually find themselves lost in nowhere even with so many references (whether from books, journals, internet) out there. Supposedly, that’s the reason why this course is created, which is to help anyone taking the path to this awesome technology. Inside, learners will learn:

1. Preparations needed in order to successfully

2. Installing necessary tools

3. Methods to Collect Dataset

4. Dataset Pre-Processing

5. Image Annotation

6. Train dataset using Transfer Learning method of TensorFlow 2 framework

7. Online Real-Time Object Detection on Web App to censor pornography contents

8. Combining TensorFlowJS, NodeJS, & WebRTC frameworks to build apps capable of censoring pornography on image, video, livestreaming and video call/conference

By the end of this course, students should be able implementing tensorflofw object detection on various apps and purposes.

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