Ultralytics YOLOv8

Ultralytics YOLOv8 is a cutting-edge object detection model that has gained popularity due to its high speed and accuracy. It is based on the You Only Look Once (YOLO) architecture, which is known for its real-time performance. YOLOv8 introduces several improvements over previous YOLO models, including a new backbone architecture, a new neck architecture, and an anchor-free split Ultralytics head. These changes result in a significant boost in accuracy, while still maintaining real-time performance.
Here are some of the key features of Ultralytics YOLOv8:
01. High speed: YOLOv8 can achieve up to 416 frames per second (FPS) on a Tesla V100 GPU.
02. High accuracy: YOLOv8 achieves an mAP of 60.2% on the COCO dataset, which is one of the most popular benchmarks for object detection.
03. Easy to use: YOLOv8 is easy to train and deploy, making it a good choice for both beginners and experienced users.
04. Versatile: YOLOv8 can be used for a variety of tasks, including object detection, image segmentation, and pose estimation.
As a result of these features, Ultralytics YOLOv8 has been widely adopted in a variety of applications, including:
01. Autonomous vehicles: YOLOv8 is used to detect and track objects in the environment, such as pedestrians, vehicles, and traffic signs.
02. Robotics: YOLOv8 is used to detect objects in the environment, such as obstacles and targets.
03. Security: YOLOv8 is used to detect and track people and objects in surveillance footage.
04. Medical imaging: YOLOv8 is used to detect and localize abnormalities in medical images, such as tumors and fractures.