nvidia
/

nemoretriever-graphic-elements-v1

Object Detection

Model card Files Files and versions

BoLiu commited on 9 days ago

Commit

ccb0316

·

verified ·

1 Parent(s): d47aafd

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -29,9 +29,9 @@ The **NeMo Retriever Graphic Elements v1** model is a specialized object detecti
 The model excels at detecting and localizing various graphic elements within chart images, including titles, axis labels, legends, and data point annotations. This capability makes it particularly valuable for document understanding tasks and automated data extraction from visual content.
-This model is ready for commercial use and is a part of the NVIDIA NeMo Retriever family of NIM microservices specifically for object detection and multimodal extraction of enterprise documents.
-This model supersedes the [CACHED](https://build.nvidia.com/university-at-buffalo/cached) model.
 ### License/Terms of use

 The model excels at detecting and localizing various graphic elements within chart images, including titles, axis labels, legends, and data point annotations. This capability makes it particularly valuable for document understanding tasks and automated data extraction from visual content.
+This model is ready for commercial/non-commercial use.
+We are excited to announce the open sourcing of this commercial model. For users interested in deploying this model in production environments, it is also available via the model API in NVIDIA Inference Microservices (NIM) at [nemoretriever-graphic-elements-v1](https://build.nvidia.com/nvidia/nemoretriever-graphic-elements-v1).
 ### License/Terms of use