Active Learning
Speed up labelling with intelligent active learning using your own models or prebuilt ones.
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Built by experts,
scaled for the world.
DeepLabel solves a critical gap in AI — the lack of sophisticated platforms for Spatio-temporal Video Annotation. Housing over 100 million annotations and 200+ modeled human actions, it helps with transformation of raw video into actionable behavioral insights at unprecedented scale.
Platform at Scale
100M+
Annotations
200+
Modeled Human Actions
100%
End-to-End Workflow
24x7
Support Availability
Platform
Deeplabel layer: features in action
Streamingo Operating system for Video AI - from data collection to actionable insights
Insights
Integrate with FizzStream to generate powerful behavioral insights from video analysis.
Collaborate
Work as a team in a standardized environment — share, download, and co-develop video AI solutions.
A Streamingo innovation
The data preparation layer in Streamingo's Operating system
Input
Raw Video Data Ingest
CPG · Manufacturing · Sports · Autonomous
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DeepLabel.app
Spatio-Temporal Video Annotation Platform
Inference Engine
FizzStream
Core Spatio-Temporal Inference Engine
CPG & Retail
Behavior Analysis
Manufacturing
Safety & Compliance
Sports AI
Advanced Analytics
Autonomous
Behavioral Validation
Output
Analytics & Visualization
Actionable Insights & Dashboards
The output: verified data, ready for inference
From raw video to production-ready behavioral models in three steps
01
Annotate with deeplabel
Upload videos and label objects and actions with active learning to speed up the process.
02
Train & Test
Build detection models across multiple frameworks, then validate accuracy on real videos.
03
Deploy & Analyze
Push models to production with one click and derive behavioral insights via FizzStream.
Get StartedReady to Transform Your
Ready to Transform Your
Video AI Workflow?
Join teams using DeepLabel to annotate, build, and deploy video AI at scale.