In a paper published earlier this month in Physical Review Letters, a team of physicists led by Jonathan Richardson of the ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

YOLO-Jevois enables open-vocabulary object detection at runtime on the Amlogic A331D-based Jevois Pro AI camera, no dataset or training needed ...

Looking for the best image recognition software in 2025? Check out the top 5 tools that stand out for accuracy, AI-powered ...

RetinaNet is a one-stage object detection model that addresses the class imbalance problem using a focal loss function ... detection model that discretizes the output space of bounding boxes into a ...

Using a volume threshold of 5 mm 3, binary classification detection metrics for CaW on a single artery were as follows: accuracy: 92.2% (95% CI 87.93% to 96.55%), precision: 94.83% (95% CI 88.68% to ...

Currently, most studies focus on adjusting the image or its features to expand the size, quality, and variety of samples during training in various tasks including object detection. However, we argue ...

Cracks can be segmented using the classical semantic segmentation methods such as morphological, Hessian and Multiscale Fractional Anisotropic Tensor that are widely used in medical imaging community.