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 / 9 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: 12 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: 12 months ago

Could you use Vision AI for this maybe? Source: about 1 year 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: about 1 year ago

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