Tools are created to serve our own purposes and technology needs to add value to our lives without creating friction.People should not adapt to technology. Technology needs to adapt to people. We don't need to teach people how to interact with software but train software to interact with people. Software adoption relies on people learning how to navigate through a user interface. But this causes resistance and hinders productivity. We close the knowledge gap between humans and machines by allowing anybody to operate any software instantly. For Software providers that need to sell their product the ability to guide users in real time translates into higher engagement, activation, conversion, and retention. Companies that implement on-screen interactive guidance in the applications their staff needs to work with, solve all the logistic problems connected to staff training and see an increase in productivity that derives from a workforce which is fully operative in any software application from the get-go.
Based on our record, YOLO seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 7 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: almost 2 years ago
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: almost 2 years ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: about 2 years ago
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: over 2 years ago
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