Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that algorithms can learn from it. Without this step, machine learning systems can't ...

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...

This study addresses the significant challenge of accurate object detection in highly variable lighting conditions (ambient and artificial). We introduce a novel architecture, Hort-YOLO, which ...

Accurately annotating cell types is essential for extracting biological insight from single-cell RNA sequencing data. Although cell types are naturally organized into hierarchical ontologies, most ...

An increasing and aging patient population poses a growing burden on healthcare professionals. Automation of medical imaging diagnostics holds promise for enhancing patient care and reducing manpower ...

AI companies need human expertise to build better models, and graphic designers are in a stronger position to provide th ...