#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
🌍 More than 40% of the world's population is under age 25—a record share of young people. This youth wave is largest in Africa and South Asia, shaping future trends worldwide. ✨
#demography⚡#youth⚡#geography⚡#nature⚡#earth
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🌍 Since the 1990s, the number of people living outside their birthplace has more than doubled, with most international migration now happening between countries in Asia and Europe. ✨
#migration⚡#demography⚡#movement⚡#geography⚡#nature⚡#earth
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🌍 Some rural areas in Eastern Europe are experiencing net population loss as younger generations migrate westward, leaving behind villages with only a handful of elderly residents. ✨
#migration⚡#demography⚡#Europe⚡#geography⚡#nature⚡#earth
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🌍 Just 2% of the world’s population lives in countries with fewer than one million people, while over half reside in just seven nations, highlighting an immense population imbalance. ✨
#population⚡#demography⚡#distribution⚡#geography⚡#nature⚡#earth
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