Keylabs
6.4#10 in ai image annotation tools$1 one-timeWebAPISelf-hosted
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| Fact | Keylabs | Label Studio |
|---|---|---|
| Deployment | Keylabs says it can be deployed in the cloud or on customer hardware, including a fully on-premise option for enterprises without internet access. | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. |
| Integrations | Keylabs lists integrations with AWS S3, Google Cloud, Azure, local storage, Roboflow, and Google Vision OCR. | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. |
| Security | Keylabs states that it is GDPR compliant and ISO 27001 and ISO 9001 certified, and that it encrypts data at rest and in transit. | The security documentation says application component interactions use TLS and the web app enforces HTTPS and secured cookies. |
Keylabs suits enterprise AI teams, data operations teams, ML engineers, and AI vendors handling varied image, video, or 3D datasets. It also fits organizations needing cloud, self-hosted, or on-premise deployment.
It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.