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One Panel

OnePanel is a comprehensive cloud-based platform that simplifies machine learning workflows, catering primarily to computer vision tasks. By abstracting the complexities of infrastructure management,

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What is One Panel?

OnePanel is a cloud-based platform designed to simplify machine learning workflows, particularly for computer vision tasks. It handles the infrastructure complexity so you can focus on building and training models rather than managing servers. The platform includes project and dataset management, Jupyter notebook workspaces, and containerised job execution. You can switch between CPU and GPU machines as needed, integrate with annotation tools like CVAT, and only pay for the compute time you actually use. It's built for teams and individuals working on image classification, object detection, video analysis, and similar computer vision projects.

Key features

Project and dataset management

organise and track your ML projects with built-in dataset versioning

Jupyter notebook workspaces

interactive development environments for experimentation and prototyping

Containerised job execution

run training jobs in isolated containers without manual infrastructure setup

CPU and GPU switching

change compute resources based on task requirements without code changes

CVAT integration

work with annotation tools directly within the platform for labelled data workflows

Pay-per-second billing

charge only for active compute time rather than reserved capacity

Pros & cons

Advantages

  • Removes infrastructure management burden, letting you focus on model development
  • Flexible compute options with straightforward switching between CPU and GPU
  • Pay-per-second model means you don't overpay for idle resources
  • Integrated annotation support speeds up the labelling workflow for computer vision tasks

Limitations

  • Primarily focused on computer vision; less suitable if you work with other ML domains
  • Cloud-only offering means all work depends on internet connectivity and vendor uptime

Use cases

Training image classification models with datasets stored and managed in one place

Object detection projects that require switching between CPU prototyping and GPU training

Video analysis workflows combining annotation, processing, and model training

Collaborative computer vision work where team members need shared project access

Rapid experimentation with different model architectures in Jupyter notebooks

Ready to try One Panel?

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Pricing

Free

Free

Basic access to workspaces and job management with limited compute resources

Pay-as-you-go

Variable (pay-per-second)

Full access to all features including CPU and GPU compute, charged only for active usage time

Get started with One Panel

Click through to One Panel and start using it now.

Try One Panel free
  • Free plan available
  • No credit card