Active Learning
Speed up labelling with intelligent active learning using your own models or prebuilt ones.
DeepLabel solves a critical gap in AI — the lack of sophisticated platforms for Spatio-temporal Video Analysis. Housing over 100 million annotations and 200+ modeled human actions, it transforms raw video into actionable behavioral insights at unprecedented scale.

A complete toolkit for video AI — from annotation to actionable insights
Speed up labelling with intelligent active learning using your own models or prebuilt ones.
Abstract away deep learning complexities — supports beginners to experts across frameworks.
Run inference on real videos to validate accuracy and improve based on recommendations.
One-click push to production — share models across your team for automated annotation.
Integrate with FizzStream to generate powerful behavioral insights from video analysis.
Work as a team in a standardized environment — share, download, and co-develop video AI solutions.
The intelligence layer in Streamingo's end-to-end Video AI ecosystem
From raw video to production-ready behavioral models in three steps
Upload videos and label objects and actions with active learning to speed up the process.
Build detection models across multiple frameworks, then validate accuracy on real videos.
Push models to production with one click and derive behavioral insights via FizzStream.

Join teams using DeepLabel to annotate, build, and deploy video AI at scale.