Main Purpose
The main purpose of SuperAnnotate is to empower enterprises with custom LLM/GenAI/CV models. It provides a platform for building, fine-tuning, iterating, and managing AI models with high-quality training data.
Key Features
- Advanced Annotation and QA Tools: SuperAnnotate offers advanced annotation and quality assurance tools to ensure accurate and efficient annotation of data.
- Data Curation: The platform provides data curation capabilities, allowing users to organize and manage their datasets effectively.
- Automation Features: SuperAnnotate includes automation features to streamline the annotation process and improve efficiency.
- Native Integrations: The platform offers native integrations with other tools and platforms, enabling seamless workflows and data exchange.
- Data Governance: SuperAnnotate provides data governance features to ensure compliance and security in handling sensitive data.
Use Case
- Enterprises Building ML Pipelines: SuperAnnotate is used by enterprises to build and manage ML pipelines, enabling them to develop top-performing models with high-quality training data.
- Data Scientists and Machine Learning Teams: The platform caters to data scientists and machine learning teams, providing them with a complete set of solutions for image and video annotation.
- Custom LLM/GenAI/CV Models: SuperAnnotate empowers enterprises to develop and deploy custom LLM (Large Language Models), GenAI (General AI), and CV (Computer Vision) models.
