Data curation & annotation
1 1 related system
Data curation and annotation is the process of preparing training datasets for AI models: filtering, deduplication, labelling and captioning of sensor, image and video data. Reasoning models and VLMs automate high-quality annotation of massive, diverse datasets, reducing manual effort.