Apr 1, 2025 · YOLOv8 is designed to improve real-time object detection performance with advanced features. Unlike earlier versions, YOLOv8 incorporates an anchor-free split Ultralytics head, state-of-the-art backbone and neck architectures, and offers optimized accuracy -speed tradeoff, making it ideal for diverse applications.

Apr 17, 2023 · when i train with yolov8, the training image sizes are reduced to 640x640. however, during actual deployment, if my CCTV is 4K resolution, does the yolo model reduce the image resolution to 640*640 during inferencing as well?

Experience seamless AI with Ultralytics HUB ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding.

Discover Ultralytics YOLOv8, an advancement in real-time object detection, optimizing performance with an array of pre-trained models for diverse tasks. YOLOv8 was released by Ultralytics on January 10th, 2023, offering cutting-edge performance in …

Jan 28, 2023 · Modern Yolo versions, from v3 onwards, can handle arbitrary sized images as long as both sides are a multiple of 32. This is because the maximum stride of the backbone is 32 and it is a fully convolutional network.

Mar 22, 2023 · What is YOLOv8 and how does it differ from previous versions of YOLO? YOLOv8 is the latest iteration of the YOLO object detection model, aimed at delivering improved accuracy and efficiency...

Mar 19, 2025 · Watch: How to use YOLOE with Ultralytics Python package: Open Vocabulary & Real-Time Seeing Anything 🚀 Compared to earlier YOLO models, YOLOE significantly boosts efficiency and accuracy. It improves by +3.5 AP over YOLO-Worldv2 on LVIS while using just a third of the training resources and achieving 1.4× faster inference speeds. Fine-tuned on COCO, YOLOE-v8-large surpasses YOLOv8-L by 0.1 ...

Mar 30, 2023 · YOLOv8, developed by Ultralytics, is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility.

Streamline YOLO workflows: Label, train, and deploy effortlessly with Ultralytics HUB. Try now! Track experiments, hyperparameters, and results with Weights & Biases. Free forever, Comet ML lets you save YOLO models, resume training, and interactively visualize predictions. Run YOLO inference up to 6x faster with Neural Magic DeepSparse.

Jan 12, 2023 · So at Stereolabs, we’ve decided to release in 2023 a complete COCO benchmark of YOLO v5 vs. YOLO v7 vs. YOLO v8 on AGX Orin, with actual latencies using TensorRT 8.4 and JetPack 5. Here are the results.