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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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Venture Village Wall 🦄

@venturevillagewall · Post #4252 · 02/26/2025, 04:00 PM

Indonesian Unicorn eFishery Faces Crisis eFishery, Indonesia's smart fish feeder unicorn, faces severe troubles after a board investigation revealed massive misrepresentation of business metrics. Initially claiming to have sold 400,000 units, true sales were only 6,300 with severe financial losses from 2018 to 2024. Recent data indicates $50 million left in accounts and substantial layoffs, shrinking from 2,600 to 200 employees. Investors like Temasek and Softbank now face losses, expecting only a fraction returned per dollar invested. Concerns arise regarding due diligence practices during funding rounds when financial issues were likely evident. Read more from Bloomberg here. #eFishery#Indonesia#Startup#Unicorn#Softbank#Temasek#Fintech#Investment#Business#Crisis#Economy#Funding#HealthTech#AgriTech#TechNews#FinancialFraud#DueDiligence#InvestorLoss#MarketTrends#Surveillance#TechIndustry