Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...
Bloomberg’s Global Data & CTO Data Science Teams Publish Best Practices for Data Annotation Projects
Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...
New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster results and 25% improvement in consistency, without sacrificing quality SAN ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
AI data management and annotation startup Dataloop today announced it has raised $16 million in funding through an $11 million series A round and a previously undisclosed $5 million seed round. A ...
Take advantage of data annotations to decorate your models using attribute tags so that your application’s data definition can be managed in a single place. Data annotations (available as part of the ...
On TikTok, Reddit, and elsewhere, posts are popping up from users claiming they’re making $20 per hour—or more—completing small tasks in their spare time on sites such as DataAnnotation.tech, ...
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