Ultralytics YOLO26 delivers world-leading end-to-end, NMS-free performance for the fastest and simplest production deployment ...
For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...
According to DeepLearning.AI, Meta has launched a comprehensive open-weights image segmentation suite featuring SAM 3 for segmenting images and videos—including from text prompts—SAM 3D Objects for ...
Less than four months after unveiling its video-focused Segment Anything Model 2, Meta has released SAM 3 and SAM 3D, immediately deploying the advanced computer vision models into consumer products ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...
To develop a computer vision model that segments stones to improve visualisation during ureteroscopy (URS) and to compare model performance to that of experts. We collected 136 videos of URS for ...
ABSTRACT: Contour is an important pattern descriptor in image processing and particularly in region description, registration and length estimation. In many applications where contour is used, a good ...
ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.
What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.
In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results