Cryptocurrency markets have already reacted to the announcement of 'Agentic Object Detection' last Thursday. Here's what it might impact next.

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 ...

Tom Warren is a senior editor and author of Notepad, who has been covering all things Microsoft, PC, and tech for over 20 years. Microsoft has quietly killed off its spoofed Google UI that it was ...

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.

For each image, the category and bounding box coordinates for each pineapple ... is widely employed in most object detection models to perform multi-level feature extraction from input images using ...