Model
monocular relative depth estimation model.
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| Field | Response |
|---|---|
| Intended Task/Domain: | Monocular Depth Estimation |
| Model Type: | Transformer |
| Intended Users: | This model is intended for developers working in industrial, robotics, and smart space applications |
| Output: | Depth Map |
| Describe how the model works: | Image input is encoded into features, then depth map is estimated using Dense Prediction Transformers(DPT) Head |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
| Technical Limitations & Mitigation: | The model may fail to estimate very sharp edges (for example, where pixel values change quickly) in complex scenes. |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Accuracy - delta-1 (D1) |
| Potential Known Risks: | The model may fail to estimate fine grain details in complex scenes (for example, scenes with complex textures). |
| Licensing: | NVIDIA Open Model License Additional Information: Apache 2.0 |