Ultralytics x Paperspace: Advancing Object Detection Capabilities Through Partnership

Object detection is crucial to many computer vision applications, from autonomous vehicles to security systems. Ultralytics YOLOv8 is an advanced object detection algorithm that achieves state-of-the-art accuracy while running at real-time speeds, making it a powerful tool for a wide range of use cases. We’ve created YOLOv8 with the intention of empowering people and companies to unleash the positive potential of AI.

At Ultralytics, we're excited to announce our newest partnership with Paperspace, a leading provider of machine learning infrastructure. Their powerful environment, Gradient, has tons of features that allow you to train your YOLOv5 and YOLOv8 models effortlessly. Paperspace Gradient allows you to set up a managed GPU environment in a few seconds.

Getting Started With Ultralytics YOLOv8 and Paperspace

Thanks to our partnership with Paperspace, YOLOv8 is now available on its robust cloud infrastructure. This means that you can quickly and easily train and deploy YOLOv8 models without the need for expensive hardware or time-consuming setup processes. Paperspace's scalable infrastructure ensures that you can handle even the largest datasets and training workloads, all with the ease and convenience of a cloud-based solution.

At Ultralytics, we're passionate about making computer vision accessible to everyone. Our partnership with Paperspace is a major step forward in achieving this goal. We're excited to continue working together to push the boundaries of what's possible with computer vision technology. Whether you're a developer, a researcher, or a business owner, we invite you to join us on this journey and discover the power of YOLOv8 and Paperspace's cloud infrastructure for yourself.

What’s new in YOLOv8

YOLOv8 comes as part of the broader Ultralytics python framework offering. This new framework has been built from the ground up incorporating all of the feedback and learnings from our wildly successful product, YOLOv5.

• Global CLI
• The new global command line interface lets you easily access your YOLO models system-wide. You can execute any operation using the `yolo` command.

• Python API
• The new Ultralytics framework has a dedicated python API that allows you to extend your python applications with YOLO features.

• New YOLOv8 Models
• We’ve launched the framework with new YOLOv8 models that achieve SOTA performance and coco dataset.

More details about the usage, design, and model architecture are available in the Ultralytics docs.

Using YOLOv8 on Paperspace Gradient

Paperspace integration is accessible from the Ultralytics README. It takes you to the Ultralytics YOLOv8 notebook on Paperspace gradient. To get started with Ultralytics on Gradient, simply sign in and start executing the cells.

At Ultralytics, we commercially partner with other startups to help us fund the research and development of our awesome open-source tools to keep them free for everybody. This article may contain affiliate links to those partners.

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