Our goal is to label your training data for your computer vision, NLP or speech recognition algorithms !
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.
No features have been listed yet.
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: about 3 years ago
Annotate - Annotate (formerly know as Glui) is the simplest way to capture, annotate and share screenshots.
Labelbox - Build computer vision products for the real world
Prodigy - Radically efficient machine teaching
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Datatang.ai - Datatang provides off-the-shelf AI training datasets, on-demand data collection & annotation solutions that power the world's most innovative artificial intelligence.
CloudFactory - Human-powered Data Processing for AI and Automation