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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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AI & Law

@ai_and_law · Post #359 · 07/24/2024, 07:04 AM

USA: Senate Bill Targets AI Deepfakes and Protects Content Creators A new bipartisan bill, the Content Origin Protection and Integrity from Edited and Deepfaked Media (COPIED) Act, has been introduced in the Senate to establish federal transparency guidelines for AI-generated content, including deepfakes. This legislation mandates AI companies to embed origin data into generated content and prohibits the removal or tampering of this information, ensuring content creators can detect unauthorized use of their work. The COPIED Act aims to provide robust legal protections for content creators such as journalists, artists, and musicians, allowing them to safeguard their intellectual property and dictate terms of use. By requiring AI providers to include provenance metadata, the bill ensures that rightsholders can trace and address unauthorized utilization of their content. Additionally, the Federal Trade Commission (FTC) and state attorney generals will enforce these regulations, with content owners retaining the right to sue for unauthorized use. #AI#Deepfakes#COPIEDAct#Transparency#DigitalRights