Information & Guide

Welcome to the free research preview of our face recognition system designed to identify celebrities and public figures. This system utilizes artificial intelligence algorithms to recognize and predict the names of celebrities based on their facial features. Here's everything you need to know about using this system:

1. How it works:
   Our face recognition system leverages a vast dataset of celebrity images collected from numerous sources, including public images, social media, and entertainment platforms. Using deep learning techniques, the system has been trained to detect and analyze facial patterns to generate predictions.
2. Unmoderated Content:
   It's important to note that due to the enormous number of sources, our system cannot be fully moderated. As an early research preview, we're providing access to the raw power of the AI model, which may result in occasional false predictions or unexpected outputs. The feedback from the users are therefore of high importance to filter out bad images or predictions.
3. Research Preview Disclaimer:
   Please remember that this system is currently in its research preview stage. While it showcases the capabilities of our AI model, it should not be relied upon for critical or definitive identifications. The results are purely exploratory and may not consistently produce accurate predictions.
4. Prediction Confidence:
   The face recognition system will always generate a set amount of guesses for each input image, regardless of the accuracy of the predictions. The correct identification may appear anywhere in the list of guesses, and it is not guaranteed to be the first prediction.
   
   To assist users we provide a confidence score alongside each guess. A higher score indicates a stronger likelihood that the prediction is correct, while a lower score signifies less confidence in the result.
5. Limitations:
   The model with it's large network is very resource intensive and since this is only a research preview there are some usage limitations in place.
   
   • Guest visitors can perform 1 scan per 24 hours.
   • Registered users can perform 2 scans per 24 hours
   • Speciality users(such as researchers) can perform up to 10 scans per 24 hours
   
   Face recognition, while powerful, has inherent limitations. Factors such as image quality, lighting conditions, pose variations, and occlusions can impact the accuracy of predictions.
6. Feedback and Improvements:
   As a research preview, user feedback is incredibly valuable. If you encounter any issues or have suggestions for improvement, please provide feedback to help us enhance the model here.

Thank you for being part of our early research preview, the model will continue to expand & improve with time.