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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #11754 · 02/28/2026, 04:59 AM

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📍 Road from Surum to Tashaul 📅 Video recorded on February 26 The village of Surum (Sur-um) is located in Tashkent Region, bordering the Sergeli and Yangihayot districts of Tashkent (about 9 km from the center of Sergeli). The video shows thick dust from operating crushers. According to local residents, this situation has been ongoing for a long time. Residents complain about: ▪️ constant loud noise; ▪️ dense dust in the air; ▪️ difficulty breathing and worsening living conditions. The community asks authorities to pay attention to the environmental situation and take measures to reduce dust and noise levels. ❗️ The situation requires inspection by responsible agencies and an assessment of its impact on the environment and public health. #Environment#TashkentRegion#Dust#Noise#EnvironmentalIssue ☘️ Follow the latest environmental news on @ekologuz. Send your suggestions and feedback via @eklguz_bot!

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