Getting Started
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Getting Started

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Developer Documentation

Dataloop SDK reference (repos and entities) and SDK related tutorials are located in SDK-Doc

Dataloop provides an end-to-end platform that covers the entire AI life cycle, from development to production. Our data-centric technology stack includes a data management, annotation platform that streamlines the process of generating data for deep learning and automation pipelines to accelerate AI projects to production, reducing costs and saving extensive engineering efforts on complex tools.

Data management

A modern data management system is a single secure visualization layer designed for unstructured data allowing you to better explore and understand images, videos, LiDAR, audio, and text. Feature store extraction and information mapping capabilities enable clustering and data exploration for very high volumes of data. Our robust and resilient tools boost the entire data labeling flow from end to end making it easy for your entire data organization including data scientists, data engineers, and data operators to search, filter, sort,clone, merge and query the datasets down to their metadata at ease and at speed. Data versioning allows data managers to seamlessly create virtual clones of datasets for experimentation without increasing physical storage of binary files.

LiDAR, Video, and Image Annotation Platform

Dataloop supports LiDAR, image, video, and audio data labeling. Create precise, accurate and pixel-perfect annotations that are key to quality data, using a cutting-edge toolset.

The platform includes a wide range of AI-assisted automations such as auto-segmentation, automated object detection, and automated video tracking to name a few, enabling teams to speed up their labeling process. A data recipe builder for standardizing the structure, ontology and labeling instructions enables data managers to create and customize labeling interfaces optimal for the specific tasks. In addition, the task and assignment distribution system makes it possible for data teams across an entire organization internally and externally to deploy projects at scale.

Automations & Pipelines

Dataloop’s solution makes it possible for organizations to create custom data automation pipelines using a no-code drag-and-drop interface or through a developer-friendly Python SDK, weaving together human labeling tasks and machine learning workflows. This makes it easier to develop ML pipelines or create human-in-the-loop data validation that can be scaled to production.


What's Next