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 ...
Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...
Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...
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 ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data labeling is an arduous — if necessary ...
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, ...
Figure 1: In-browser 3D annotation of axons and dendrites for connectomics. We thus conclude that annotators can be trained to trace cortical axons at 1.51 ± 0.04 mm/h in flight mode without a ...
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