Encord Integrates NVIDIA Cosmos Reason and Embed
Blog post from Encord
Encord has integrated NVIDIA's Cosmos Reason 2 and Cosmos Embed models into its platform, enhancing its capabilities for processing and analyzing video data. Cosmos Reason 2 automates the pre-labeling of physical AI video by generating natural-language descriptions of actions, objects, and scene contexts, which assists annotators by providing a starting point for refinement, thereby streamlining the labeling process. Cosmos Embed, on the other hand, enables video datasets to be searchable by behavior rather than just scenes, using action-aware embeddings that facilitate natural-language queries to identify specific behaviors within video clips. This integration allows teams across various fields, such as robotics, autonomous vehicles, and industrial inspection, to efficiently generate structured, searchable training data by focusing on relevant actions and scenarios, ultimately improving model training and reducing the time spent on manual labeling.
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