Object detection and segmentation are two important tasks in computer vision that aim to locate and classify objects in an image or a video. They have many applications, such as face recognition ...

Object detection for computer vision is one of the key factors for scene understanding. It is still a challenge today to accurately determine an object from a background where similar shaped objects ...

This project demonstrates object detection and instance segmentation with a Mask R-CNN using PyTorch and TorchVision. It fine-tunes a pre-trained Mask R-CNN model on the Penn-Fudan dataset, which ...

Computer vision is a crucial component of many modern businesses, including automobiles, robotics, and manufacturing, and its market is growing rapidly. This book helps you explore Detectron2, ...

A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same ...

Computer vision models are generally more complex because they detect objects and react to them not only in images, but videos & live streams as well. A computer vision model is generally a ...

As a consequence, semantic segmentation does pixel-by-pixel classification, such as detecting whether a pixel belongs to a pedestrian, a car, or a traversable road. Image segmentation datasets. To ...

A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same ...

Semantic segmentation, which involves categorising each pixel in a high-resolution image to identify objects and potential obstructions, demands substantial computational resources, making real-time ...