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, Pocket seems to be a lot more popular than SuperAnnotate. While we know about 56 links to Pocket, 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 find Pocket useful for: https://getpocket.com/en/. Source: about 1 year ago
I use the Pocket extension for Chrome. You can tag every one to organize them. They have import options and some paid features that could help you sort of dead links and other things. https://getpocket.com/en/. Source: about 1 year ago
I do use Pocket for this: https://getpocket.com/en/ works great. I‘m not sure about the notes though, have never really tried that. It supports tags, that how I usually categorize my links. Source: about 1 year ago
There is an app called Pocket, also a Chrome extension which allows you to saves links and you can tag them to organise. If you use this on mobile, use the ‘share via’ on LinkedIn and you save to Pocket. That’s how I do it! Hope that helps. Source: over 1 year ago
Leverage RSS feeds, and/or pocket, and/or many other credible alternatives to keep things organized and save time. - Source: dev.to / over 1 year 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: about 3 years ago
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