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Based on our record, Google Vision AI seems to be a lot more popular than EBLearn. While we know about 41 links to Google Vision AI, we've tracked only 1 mention of EBLearn. 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.
It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements. - Source: dev.to / over 2 years ago
I've been trying out Google's Cloud Vision API (https://cloud.google.com/vision) as a means of detecting NSFW content in user-submitted images but am finding it surprisingly unreliable. A large proportion of requests appear to just randomly hang before timing out with no error. I'm looking for recommendations for an alternative solution which can flag images containing pornography, gore, violence, etc. All the bad... - Source: Hacker News / 8 months ago
I wonder if we could use something like https://cloud.google.com/vision to employ AI image classification on these sat images? Source: 10 months ago
There are many. Google Lens can classify images. It can even identify species of plants and animals. If by "toolset" you mean you want an API to write your own applications, you can use the Google Vision API. Source: 10 months ago
Could you use Vision AI for this maybe? Source: 11 months ago
The violence will get it not recommended, use https://cloud.google.com/vision/ to see what I'm talking about. It comes up as very racy and possibly adult. Source: 11 months ago
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