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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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NEA Singapore

@NEASingapore · Post #915 · 10/14/2024, 05:36 AM

Give your e-waste a second life by recycling them this International E-waste Day 📱💻♻️ Find out more about how to recycle your e-waste at go.gov.sg/e-waste Let’s also reduce the amount of e-waste generated by: - Considering if you really need to buy new a product or if the current one can be repaired - Choosing second-hand products over new products - Donating devices that are in good condition to those who could put them to better use #RecycleRight#RecycleOurEWaste#IEWD2024#InternationalEWasteDay2024#DataSecurity