Onrec

How Data Annotation Powers AI Behind the Scenes

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
thorax.bmj

Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria

Background In malignant pleural mesothelioma (MPM), complex tumour morphology results in inconsistent radiological response assessment. Promising volumetric methods require automation to be practical.
IEEE

A Semi-Automatic Labeling Approach for Image Segmentation Using YOLOv11

Abstract: Manual annotation creation for instance segmentation represents one of the main bottlenecks in building datasets for training computer vision models, often being more costly and ...
The Lancet

Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study

dBioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore eGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore fInstitute of ...
Design-Reuse

The Role of Data Annotation in Building Autonomous Vehicles

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 ...