Update README.md

README.md

@@ -253,7 +253,7 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 | Verified to have met prescribed NVIDIA quality standards: | Yes |
 | Performance Metrics: | Mean Average Precision, detectionr recall and visual inspection |
 | Potential Known Risks: | This model may not always detect all elements in a document. |
-| Licensing & Terms of Use: | Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt). |
+| Licensing & Terms of Use: | Use of this model is governed by [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the use of the post-processing scripts are licensed under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.txt). |
 
 ## Privacy
 
@@ -274,5 +274,5 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 | ----- | ----- |
 | Model Application Field(s): | Object Detection for Retrieval, focused on Enterprise |
 | Describe the life critical impact (if present). | Not Applicable |
-| Use Case Restrictions: | Abide by [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).   |
+| Use Case Restrictions: | Abide by [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the use of the post-processing scripts are licensed under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.txt).   |
 | 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. |