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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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HABIT AI Network🐨

@habitnetwork · Post #242 · 08/16/2024, 04:48 AM

POLL RESULTS! 🐨📊 We asked, you voted, and the correct answer is... 50% of #HABITTokens are allocated to the #HABIT community! 🎉 Congratulations to those who guessed it right! 🙌 Indeed, 50% of the #HABITTokens are allocated to the #HABIT community, empowering our users and fueling our network! 🤝 Thanks for participating, and stay tuned for more updates! #HABITToken#HABITNetwork