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 ...
Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is pictured on a laptop in New York on Aug. 16, 2023. Credit - Gabby Jones—Bloomberg/Getty Images On TikTok, ...
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, ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has made significant strides in recent years, largely due to ...
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 ...
Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...
Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data from cameras, LiDAR, and radar is annotated using ...
In February the W3C approved recommendations to enable annotation on the web. There is a long lineage of annotation tools that enable readers of the web to write comments that overlay content and ...
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