Encord Blog
Providing Computer Vision Infrastructure for Project Stormcloud
Last month, Encord was one of a number of global tech companies invited by Amazon Web Services (AWS) to attend the event dubbed Project Stormcloud.
In launching Project Stormcloud, The Royal Navy’s Office of the Chief Technology Officer challenged global technology giants Microsoft and AWS to demonstrate how companies could bring new, state-of-the-art cloud-based technology into the defence industry.
As part of the Stormcloud Community, we’ve been supporting the Royal Navy and British Defence by providing critical computer vision infrastructure for the project, enabling the defence industry to automate visual tasks, annotate data for internal intelligence analysis, and store data at a large scale. This support allows for the application of AI for an instant real-time, on-the-ground intelligence picture.
Being involved in Project Stormcloud has been a great experience for us as a company. It has been a privilege to be part of this consortium of innovators. We got to work and integrate with some of the leading tech companies in the government sector. The fact that the UK tech ecosystem could achieve so much in such a short period of time really speaks volumes about its quality.
We also gained a lot of insight into the importance of using the right data to achieve specific mission objectives. It was useful to learn how our applications can be used to achieve real-time situation awareness.
Stormcloud, with AWS, Microsoft, and their range of partners, will progress further over the next year to incorporate ideas from across Defence and to demonstrate how two of the leading global tech companies can revolutionize how to get technology into the hands of sailors and Royal Marines.
We look forward to continuing to be part of the journey.
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To set up an annotation project in Encord, you need three key components: the data, which can be integrated through cloud services or other methods; a workflow that defines the various tasks and collaborators involved; and an ontology or labeling specification that outlines the objects or attributes to be labeled.
Encord allows users to build customized workflows for annotation projects by adding or removing stages as needed. This flexibility enables teams to control the flow of tasks, from annotation to review, ensuring that completed annotations are automatically directed to the appropriate review stage.
Encord includes robust project management features that ensure appropriate permissions are assigned and workflows are optimized with models in the loop. This allows teams to manage their projects effectively, reducing frustrations associated with other platforms that may lack these capabilities.
Yes, Encord supports complex workflows by allowing users to create detailed labeling projects with various stages and review processes. This ensures that all annotations are thoroughly vetted and meet the desired standards before being finalized.
Yes, Encord allows users to host all data in their own cloud storage while rendering it within the platform. This integration ensures that the original assets remain in the cloud and are utilized without duplication in the annotation process.
Encord integrates seamlessly with cloud storage solutions, such as Google Cloud Platform (GCP), enabling users to import data easily for exploration and analysis. This integration supports efficient data management and accessibility.
Yes, Encord is a cloud-based platform that provides a zero-footprint solution. Users can log into the interface from anywhere, enabling both in-house and external annotators to collaborate seamlessly on annotation tasks.
Yes, Encord operates as a fully cloud-based platform, accessible through a web application. This allows for seamless data management and collaboration from anywhere.