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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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KIUT | Namangan rasmiy

@kiut_nm · Post #5409 · 01/31/2026, 10:29 AM

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🇺🇸🤝🇺🇿 At the initiative of the Vice-Rector for International Cooperation of Kimyo International University in Tashkent, Mr. Rod Clark, an event was held in cooperation with representatives of the U.S. organization OSAC, focusing on one of the issues that is becoming increasingly relevant today — artificial intelligence and cybersecurity. The event brought together representatives of various U.S. companies and organizations operating in Tashkent, who shared their practical experience in implementing modern technologies, ensuring digital security, and current developments in these fields. 🇺🇿🇬🇧🇷🇺: www.kiut.uz #KIUT #OSAC #ArtificialIntelligence

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