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Zhuque Large Model AI Image Detection
Overview :
Zhuque Large Model Detection is an AI detection tool launched by Tencent, primarily designed to determine if an image is generated by AI. It has been trained using a vast array of natural and generated images across photography, art, painting, and other domains. The tool can detect images generated by various mainstream text-to-image models. It boasts high-precision detection and rapid response, making it significant for maintaining content authenticity and combating the spread of false information. Specific pricing has not yet been announced, but it is mainly aimed at organizations and individuals engaged in content review and authenticity verification, such as media and art institutions.
Target Users :
The target audience includes media organizations, art institutions, content reviewers, and others. Media organizations can use it to verify the authenticity of news images, preventing the spread of fake news; art institutions can identify whether artworks are AI-generated, protecting artists' rights; content reviewers can quickly filter out AI-generated images, enhancing review efficiency.
Use Cases
A news organization received a photo claimed to be taken on-site; Zhuque Large Model Detection revealed it to be AI-generated, preventing the spread of fake news.
An art gallery received multiple submitted works and used this tool to detect that some pieces were AI-generated, ensuring the authenticity of exhibited works.
A content review team utilized this product to quickly filter out AI-generated images while reviewing user-uploaded pictures, significantly improving accuracy and efficiency.
Features
AI Image Detection: Utilizes advanced AI models to accurately identify whether an image is AI-generated.
Multi-Model Support: Capable of detecting images generated by various mainstream text-to-image models, with detection scope continuously expanding.
High-Precision Training: Trained on millions of natural and generated images, covering a wide range of content.
Rapid Detection: Users can quickly upload images for inspection and receive prompt results.
Result Feedback: Clearly displays the likelihood of being AI-generated, allowing users to understand the authenticity of the image.
User Feedback Mechanism: Offers options for satisfactory and unsatisfactory feedback, facilitating the optimization of the detection algorithm.
How to Use
1. Visit the Zhuque Large Model Detection website.
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2. Click the 'Upload Image' button on the page or drag the image to the designated area.
3. Select the image file to be tested for upload.
4. Wait for the system to process the image; after completion, it will display the probability of it being AI-generated.
5. Based on the detection results, determine if the image is AI-generated, and provide feedback by clicking 'satisfied' or 'unsatisfied'.
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