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Source channel @githubtrending · Post #14949 · Jul 12

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#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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40003 · 11/03/2025, 07:00 AM

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Igbo‑Ora, Nigeria — nicknamed the 'Twin Capital' — reports twin birth rates around 4–5% (~40–50 per 1,000), far above the global average (~1–1.5% or 10–15 per 1,000). Nearby Yoruba communities and parts of Benin show similar rates. (Figures approximate.)" @googlefactss#Nigeria#anthropology#twins

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