Products
Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale NucleusThe mission control for your data
Scale ValidateCompare and understand your models
Scale LaunchShip and track your models in production
Scale Document AITemplate-free ML document processing
Scale Content UnderstandingManage content for better user experiences
Scale SyntheticGenerate synthetic data
Solutions
Resources
Company
Nucleus for University Researchers
World class data curation should be accessible to everyone.
Why Scale university
Empowering University Students and Faculty
For Researchers
Present your research
For researchers finding it difficult to reproduce and interpret their research data, you can get started with Nucleus to ensure your data is findable, accessible, interoperable, and re-useable. Nucleus enables you to build better models through data exploration, curation, and quality assurance.
For Students
Demo your projects
For students struggling with ML projects, Nucleus can support your project whether you have labels, models, or an empty repo. Search over your unlabeled data with Natural Language Search, create classifiers with Nucleus Autotags, and demo your project with our auto-generated charts, confusion, and correlation matrices.
Engineering blog
Improving Datasets with Scale Nucleus
Better ML starts with understanding your data in depth. To improve your ML models, you need to understand your models’ qualitative failure modes, fix them by gathering the right data, and curate diverse scenarios.
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