Dataloop

What Dataloop is

Dataloop is an enterprise-first AI development platform for building AI applications, with workflows for unstructured data including images, video, text, JSON, LiDAR, audio, PDF, GIS and multimodal data. Teams can use off-the-shelf or custom models, then version, experiment with, compare and fine-tune them. Pipelines connect data, models and human feedback through a drag-and-drop interface or Python SDK, including workflows for reinforcement learning from human feedback and other human-centered tasks.

For image annotation, Dataloop supports model-assisted labeling and team collaboration. Annotation options include bounding boxes, polygons, key points, cuboids, polylines, semantic segmentation, classification, tagging and hierarchical annotation. It accepts JPG, JPEG, PNG and TIFF images, with dataset export to Dataloop JSON, COCO, YOLO or VOC. API access is available. A marketplace provides models, datasets, workflow templates and reusable components. Listed integrations include Google Cloud Platform, Amazon S3 and Microsoft Azure Blob storage, plus AWS ECR, Google Artifact Registry and Azure Container Registry. Dataloop was founded in 2017 and is headquartered in Tel Aviv, Israel. It supports web, Linux, macOS, Windows and API access. Pricing is available by scheduling a demo, and subscriptions track usage such as annotation studio time, datapoints and serverless automation.

Who it suits

Dataloop suits data engineers, data scientists, software engineers, AI and data leaders, and human reviewers working on AI applications or annotation workflows. Teams that need model workflows, human feedback, varied annotation types or multiple dataset export formats may find its toolset relevant.

Limits

Pricing is provided through a demo with a specialist. Subscriptions track usage such as annotation studio time, datapoints and serverless automation.

Getting started

1. Visit the Dataloop website.
2. Schedule a demo with a specialist to discuss pricing.
3. Choose a deployment approach, including on-premises or private storage if needed.
4. Use the web platform, API, or a listed desktop or Linux platform.

Verdict

Choose Dataloop if you need an AI development platform that combines unstructured data, model workflows, pipelines and human feedback. Its annotation tools and export formats also suit teams preparing image datasets. Buyers should request a demo to learn the subscription cost and how usage is tracked.