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Model
TAO Commercial Pretrained C-RADIOv2 Model
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| Field | Response |
|---|---|
| Intended Domain: | Visual Feature Extraction |
| Model Type: | Vision Transformer |
| Intended Users: | Developers of downstream vision applications |
| Output: | Image embeddings |
| Describe how the model works: | The model takes an image as input, processes the image through multiple transformer blocks, and outputs summary and patch embeddings. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
| Technical Limitations & Mitigation: | This model generates image embeddings that can be used by a downstream model to, for example, classify images. The downstream model must be trained to leverage the visual embeddings. |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Image classification accuracy |
| Potential Known Risks: | This model is only tested on input resolutions ranging from 256 to 2048, in increments of 16 pixels. Additionally, the generated embeddings might fail to disambiguate differences that appear evident to humans (e.g. two images showing different breeds of dogs might in fact produce very similar embeddings). Domain-specific evaluation is required for the target application. |
| Licensing: | NVIDIA Open Model License |