Model
Pretrained ConvNextv2 backbone models to facilitate transfer learning for commercially viable models.
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| Field | Response |
|---|---|
| Intended Applications & Domains: | Generating image embedding for image classification, segmentation, and detection tasks. |
| Model Type: | Object Classification |
| Intended Users: | This model is intended for developers building CV applications. |
| Output: | Embedding |
| Describe how the model works: | This model takes RGB images as input and outputs classifier embeddings. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
| Technical Limitations: | This model may experience challenges with detection and classification for non-Flicker style data, such as medical, satellite and industrial data. |
| Verified to have met prescribed NVIDIA standards: | Yes |
| Performance Metrics: | Zero-shot KNN |
| Potential Known Risks: | This model may inaccurately predict object class. |
| Licensing: | NVIDIA Open Model License |