#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
🌍 Nearly half of all quinoa grown worldwide comes from just two regions in the Andes Mountains of Bolivia and Peru, where unique high-altitude conditions make large-scale farming possible. ✨
#agriculture⚡#Andes⚡#crops⚡#geography⚡#nature⚡#earth
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🌍 Bananas are the world’s most-exported fruit, yet nearly all commercial bananas are genetic clones. This makes plantations worldwide vulnerable to the same diseases spreading rapidly. ✨
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🌍 Wheat is grown on more land than any other crop worldwide. Over 215 million hectares—from Russian steppes to Canadian prairies—are covered with wheat fields each year. ✨
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🌍 Palm oil plantations now cover over 19 million hectares worldwide, mainly in Indonesia and Malaysia. This rapid expansion has made Southeast Asia the top global supplier of edible vegetable oil. ✨
#agriculture⚡#crops⚡#landuse⚡#geography⚡#nature⚡#earth
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