An image annotation definition would state that digital labels can enable smart computers to interpret and understand digital visual data like images and video stills. In addition, digital labelling ...

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...

AevaScenes is the industry’s first open dataset featuring synchronized, multi-sensor FMCW 4D LiDAR and camera data with object velocity measurements, semantic segmentation, tracking and lane line ...

The pancreas and tumor are represented by the colors orange and green, respectively. Given the weak label, we expand it to a lesion marker (teal green) and background markers (red). We then utilize ...

The use of machine learning to perform blood cell counts for diagnosis of disease instead of expensive and often less accurate cell analyzer machines has nevertheless been very labor-intensive as it ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images.

Conservation X Labs (CXL), in collaboration with Meta, has released the world's largest open dataset of annotated camera trap wildlife videos: over 10,000 expertly annotated clips, spanning almost 100 ...

Meta brings SAM 3, its most advanced AI model for open-vocabulary image and video segmentation, along with a public ...