This repositories leverages the YOLOv5l model by ultralytics and computer vision algorithms to localize and classify some kind of anomalies that can harm wildlife animals as well as their habitate.

Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern ...

Abstract: With the development of computer vision ... object is blocked, the highest accuracy of the YOLO positioning system is 0.74. The above results indicate that the multi camera localization ...

Learn more Computer Vision (CV) has evolved rapidly in recent ... what should continue to be solved with mathematical and geometric algorithms. Deep learning can transform CV, but this magic ...

Deep neural networks use learning algorithms to ... of understanding how the computer vision system differs from the human one. CRAFT provides an interpretation of the complex and high-dimensional ...

Illustration showing how an attacker could cause a computer vision system to miscategorize objects it ... They used geometric transformations to design very efficient attacks on video classification ...