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 ...

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 ...

Automated data annotation is an automated process of labeling data to make it usable for machine learning and the data includes images (from cars, phones, or medical instruments), text (in English, ...

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, ...

Labeling and annotation platforms might not get the attention flashy new generative AI models do. But they’re essential. The data on which many models train must be labeled, or the models wouldn’t be ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...

Astute Analytica has recently published a detailed and extensive report analyzing the Data Annotation Tools Market. This study spans a decade-long forecast from 2024 to 2033, providing a thorough ...

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...