Zhuque AI Detection – Tencent’s AI Image and Text Identification Tool | AI Tool Set
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What is Zhuque AI detection
Zhuque AI detection is an AI detection tool launched by Tencent Hunyuan Security Team Zhuque Laboratory, including AI-generated image detection system andAI generated text detectionSystem, identify the images and text content generated by AI. The AI-generated image detection system helps users identify whether the images are generated by AI and maintain the authenticity and credibility of the digital content ecosystem by capturing the differences between real images and AI biographical images. The AI-generated text detection system can accurately determine whether the text is AI-generated text through learning massive AI-generated text and human writing content, and analyze the characteristics and patterns of the text, which can help prevent academic plagiarism, identify fake news, and guarantee Evidence reliability, etc.
The main functions of Zhuque AI detection
- AI generated image detection: The user only needs to upload the image, and the system will complete verification within a few seconds to determine whether the image is generated by AI.
- Not in line with common sense logic: AI raw pictures sometimes generate content that does not conform to common sense, such as puppies flying with wings, cats holding cigars, etc. The system can make preliminary judgments based on this.
- “Add a Watermark” logo: Most AI-generated synthetic content providers will add explicit or implicit identifiers, i.e. “watermarks”, to the relevant synthetic content, which can be read to assist in detection.
- Hidden layer features: The images generated by AI often contain some features that are invisible to the naked eye, such as the local textures appear densely distributed highlights after adjusting the HSV color space, and the system can capture these hidden layer features.
- AI generated text detection
- Massive data learning: Text detection is realized by learning massive data of AI-generated text and human writing content, and a large number of positive and negative samples are collected for training, covering generated texts from different fields and different large language models.
- Overlap degree comparison: Use contrast method to compare the detection text with the predicted content of the big model to infer the AI generation probability of the article to enhance the detection ability of unseen data.
- Diverse cultural coverage: Currently it covers diverse styles such as news, official documents, novels, and prose. In the future, genres such as poetry will be strengthened to improve the accuracy of text recognition.
How to use Suzaku AI detection
- Visit the detection platform: Visit the official website of Zhuque AI detection:matrix.tencent.com 。
- Select the detection content: The AI image generation detection and text generation detection functions can be selected.
- AI image detection:
- Upload the picture: Upload the pictures that need to be detected to the detection system.
- Waiting for verification: The system will complete verification within a few seconds to determine whether the image is generated by the AI.
- View results: The detection results will show whether the image is generated by AI, as well as the specific detection probability and feature analysis.
- AI text detection:
- Upload text: Copy and paste the text that needs to be detected into the detection box, or upload the text file.
- Click Detection: Click the “Detection” button and the system will automatically analyze the text content.
- View results: The detection results will be displayed in the form of reports, showing which parts are generated by AI and which parts are written by humans.
Application scenarios of Zhuque AI detection
- Medical imaging test: Use AI technology to analyze medical images to help doctors quickly identify lesions and abnormalities and improve diagnosis accuracy and efficiency.
- Evidence review: In legal cases, test whether the evidence materials are generated by AI to ensure the authenticity and legality of the evidence.
- Content creation protection: Help creators detect whether there is AI-generated content in their works, protect the copyright of original works, and prevent infringement.
- Paper testing: Help academic institutions and researchers to detect whether there is AI-generated content in the paper and ensure academic integrity.
- Job testing: Educators can use the Zhuque AI detection tool to detect whether the homework submitted by students is generated by AI to ensure teaching quality and academic integrity.
- News content detection: Newsrooms can use tools to detect whether news articles are generated by AI to prevent the spread of fake news.
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