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Model
Cosmos-Embed1 is a joint video-text embedder tailored for physical AI.
By using the Model(s), you agree to the Model License(s).
Use the NGC CLI to download:
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| Field | Response |
|---|---|
| Model Application Field(s): | Industrial/Machinery and Robotics, Video Understanding |
| Describe the life critical impact (if present). | This model produces video and text embeddings for tasks such as text-to-video retrieval, video-to-video search, zero-shot classification, and semantic deduplication. It is intended for use in physical AI applications encompassing robotics, autonomous vehicles (AV), and anomaly detection. The fine-tuned variant (Cosmos-Embed1-448p-finetuned_anomaly_detection) is additionally optimized for video anomaly detection and classification. |
| Use Case Restrictions: | Abide by the NVIDIA Open Model License. Additional Information: Apache 2.0 and MIT. |
| Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. Model checkpoints are made available on Hugging Face, and may become available on cloud providers' model catalog. |