Google Vision AI
Amazon Rekognition
OpenCV
Clarifai
Microsoft Computer Vision API
Kairos
CompreFace
Microsoft Video API
SuperAnnotate
Labelbox
V7
CloudFactory
Hive
Dataloop AI
Playment
Heartex
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
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Based on our record, Google Vision AI seems to be a lot more popular than SuperAnnotate. While we know about 41 links to Google Vision AI, we've tracked only 1 mention of SuperAnnotate. 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.
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: 11 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: 11 months ago
Could you use Vision AI for this maybe? Source: 12 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: 12 months ago
Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: almost 3 years ago
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
Labelbox - Build computer vision products for the real world
OpenCV - OpenCV is the world's biggest computer vision library
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Clarifai - The World's AI
CloudFactory - Human-powered Data Processing for AI and Automation