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Or they could use image recognition to detect adult content, like Google's Cloud Vision API https://cloud.google.com/vision/docs/detecting-safe-search https://
by nickdandakis 9y ago
Or they could use image recognition to detect adult content, like Google's Cloud Vision API
https://cloud.google.com/vision/docs/detecting-safe-search https://cloud.google.com/vision/docs/detecting-safe-search
EDIT: Just read the part that says a "community operations analyst" will hash and analyze the photo. That's terrible!
- danso 9y agoHave you used that API? According to the documentation, this is the JSON response: "responses": [ { "safeSearchAnnotation": { "adult": "VERY_UNLIKELY", "spoof": "VERY_LIKELY", "medical": "UNLIKELY", "violence": "UNLIKELY" } } ] How is that useful for efficient detection of what the OP describes? edit: "useful" as in, how would that be granular enough for what FB would need? I don't mean that FB literally uses Google's API/endpoint response, but that FB isn't trying to detect and prevent adult content, but malicious content that invariably happens to be adult content.
- fenwick67 9y agoThere's no way around putting a human in the loop. The ML adult filters are nowhere near as good as a person. Try Google Images with safesearch on, it's nowhere near sfw.