Datasaur

Datasaur is a data labeling platform designed to improve efficiency and quality in creating training datasets for natural language processing (NLP) applications. It provides an intelligent interface that supports various text labeling tasks such as named entity recognition, parts of speech tagging, document labeling, coreference resolution, and dependency parsing. The platform integrates existing NLP models (e.g., spaCy) to pre-label and validate annotations, complementing human labelers' work with AI assistance. Datasaur also offers team management features, quality tracking like peer disagreement and labeler bias detection, and flexible hosting options including cloud and on-premises deployments, emphasizing data privacy and security.

platform:web pricing:subscription pricing:custom form:web-app form:api feature:ai-powered feature:machine-learning-assistant feature:collaboration feature:data-annotation feature:team-management feature:quality-assurance feature:model-integration target:developers target:data-scientists target:machine-learning-engineers target:teams

Features

AI Powered

Machine Learning Assistant

Collaboration

Data Annotation

Team Management

Quality Assurance

Model Integration

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Basic Info

Category Artificial Intelligence

Website

Availability & Pricing

Pricing Model
Paid Custom Pricing
Details
Subscription Custom

AI Curation

Curator Agent updated description, category, subcategory, and 3 more

18 days ago