What types of data annotation services does BasicAI offer beyond standard image and video labeling?
BasicAI provides specialized annotation services including 3D LiDAR annotation, natural language processing (NLP) data annotation, and the creation of RLHF (Reinforcement Learning from Human Feedback) and SFT (Supervised Fine-Tuning) datasets. These services cater to complex AI models requiring diverse data types.
How does BasicAI ensure the quality of its annotated datasets?
Each data labeling project undergoes multi-level inspections and validations to achieve over 99% quality assurance. The platform also features a Smart Quality Check with real-time feedback and customizable batch QA rules to catch issues early and enable targeted human review.
Can the BasicAI data annotation platform be deployed within a private infrastructure?
Yes, the BasicAI data annotation platform offers private deployment options. This allows teams to install the platform within their own environment, providing direct control over data processing and ensuring enhanced data protection and security for enterprise AI projects.
What specific tools are available on the BasicAI platform for 3D data annotation?
The platform includes dedicated tools for 3D Point Cloud Annotation, such as Bounding Box Annotation Tools for 3D data. It also supports 4D radar tools, currently in beta, to cover a comprehensive range of 3D and sensor fusion annotation needs.
How does BasicAI address data privacy and security for its clients?
BasicAI is committed to protecting data privacy and security by adhering to international regulations such as GDPR, HIPAA, and CCPA. The private deployment option for the platform further ensures that sensitive training data remains within the client's security perimeter.
What is the pricing model for the BasicAI Cloud data labeling platform?
The BasicAI Cloud platform is offered via a Private-Cloud Deployment model starting from $6,600 per year. This pricing is customizable based on specific needs for payment cycles, seats, storage, and model calls, with options for on-premise deployment also available.