- Pornographic video detector Challenge
#PornVideoDetector #AntiPorn #Newregna
The amount of adult content on the Internet grows daily. Much of the pornographic content is unconstrained and freely-available for all users current controlling methods depend on human intervention, and hence there is the need of computational approaches for automatically detecting and blocking pornographic content. We have developed a deep learning model trained on the publicly available 2k pornographic dataset using the latest Deep learning method for video classification CNN and GRU with a great accuracy for detecting pornographic content.
So we challenged you to use this trained model to use it for real time applications like deploy it on the web server for identifying pornographic videos, develop an desktop application for identifying pornographic videos from large amounts of videos without human intervention.
- Deep learning researcher
- Desktop application developer
- Backend web developer
- Python programmer
Challenge Lead Contact Information
Name: Boaz Berhanu