Overview
Detect and identify celebrity faces in YouTube videos
The is the demo version of "YouTube Face Blindness Saver" for "friends" dataset Enhance Your YouTube Experience with AI-Powered Face Recognition YouTube Face Blindness Saver is an innovative Chrome extension that brings real-time face detection and recognition technology to your YouTube viewing experience. Using a lightweight machine learning model, this extension helps you identify familiar faces while watching your favorite YouTube content. Key Features: * Real-Time Face Detection: Advanced AI technology detects faces as you watch, providing seamless recognition without interrupting your viewing experience. * Instant Face Recognition: Automatically identifies and labels recognized faces in your videos using a sophisticated face-matching system. * Friendly UI: Ability to change frame colors and switch the detection on/off. * Privacy-Focused: All processing happens locally in your browser, ensuring your viewing data stays private. * Lightweight implementation ensures minimal impact on your browsing experience. Perfect For: * TV Show and Movie Enthusiasts: Never miss a character's identity while watching clips from your favorite shows * Content Creators: Easily track appearances of different people in video content * Anyone who struggles with face recognition: Get instant help identifying familiar faces in videos Note: This demo version focuses specifically on the "Friends" dataset. Accuracy may vary with video quality and scene complexity. Enhanced face recognition experience may be achieved by applying more customized image datasets.
Details
- Version0.1.1
- UpdatedFebruary 20, 2025
- Offered byleochen66
- Size8.26MiB
- LanguagesEnglish
- Developer
Email
leochen6687@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes