Use case
Video generation and analysis
From text-to-video generation to video analysis, Labelbox provides proven tools and expert services to help differentiate your generative AI video models
Why Labelbox for video tasks
Increase data quality
Generate high-quality, diverse datasets for video training by combining advanced tooling, humans, AI, and on-demand services in a unified solution.
Precise video annotation tools
Use a comprehensive suite for per-frame labeling with bounding boxes, polygons, key points, and more. Enjoy nested classifications and easy tracking in the timeline.
Access on-demand expertise
Embrace on-demand, highly-skilled labeling services, creative writing support, and industry-specific insights that can scale with your business needs.
Customizable workflows
Tailor your video annotation workflow to your specific needs. Create multi-stage workflows, define quality control steps, and integrate with your existing tools.
The new frontier of GenAI for video
Generative AI is rapidly transforming the video landscape. Common video tasks include generating realistic video clips from text (text-to-video), manipulating existing videos with AI-powered editing tools, and developing models that can understand and interpret video content for specific applications.
Challenges in generative video tasks
Developing generative AI models for video presents unique challenges due to the complexity and richness of video data. These challenges include the need for massive datasets, the difficulty of capturing temporal dynamics and motion, and the computational resources required for training sophisticated video models.
Enhance video capabilities with Labelbox
The Labelbox platform offers specialized video annotation tools, streamlined data management capabilities, and customizable workflows to accelerate the creation of high-quality training datasets. With access to expert annotators, Labelbox empowers you to build the next generation of GenAI video models.