Ultralytics democratizes cutting-edge computer vision and machine learning with scalable, user-friendly AI solutions
In order to enable a deep learning model to provide correct predictions, data must be fed into it and its parameters adjusted
The Ultralytics YOLOv8 train mode is designed to fully use the capabilities of current hardware in order to train object detection models
Train not just on publicly accessible datasets like as COCO, VOC, and ImageNet, but also on bespoke datasets
It has been very helpful to train YOLO models with access to Intel Tiber Developer Cloud servers powered by Intel Gaudi 2 AI Accelerator
Ultralytics is dedicated to facilitating effective and accessible AI development and implementation
With the release of Ultralytics YOLOv8 v8.2.0, which includes 277 merged Pull Requests from 32 contributors since the previous v8.1.0 release in January 2024
New models, features, and optimizations, plus platform support and integration options, make Ultralytics YOLOv8 v8.2.0
New models, features, and optimizations, plus platform support and integration options, make Ultralytics YOLOv8 v8.2.0