Shaip is a leader and innovator in the structured AI Data solutions category. Our strength is in the ability to bridge the gap between industries with AI initiatives and the high-quality data they require. The ultimate benefit we provide to our clients is the vast amounts of structured data to train their AI models with superior accuracy and the desired outcomes. And it’s all done right the first time to adhere to the most demanding project's specifications. We have the people, processes and human in-the-loop platform to meet these challenging AI projects and we do it within the set timeframes and budgets. This not only enhances an organization’s ability to get ahead in launching their AI products that work as designed, but they can reach their target markets whether they are local, regional, or worldwide. This is the Shaip difference, where better AI data means better results for you.
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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Working for 5 years and it's been a great experience.
Based on our record, SuperAnnotate seems to be more popular. It has been mentiond 1 time since March 2021. 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.
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
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