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README.md

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 # yolox_s-int8-ov
 
 - Model creator: [Geti™](https://github.com/open-edge-platform/geti)
-- Original model: [YOLOX-S](https://github.com/open-edge-platform/geti)
+- Original model: [YOLOX-S](https://github.com/open-mmlab/mmdetection/tree/main/configs/yolox)
 
 ## Description
 
-This is a [Geti™](https://github.com/open-edge-platform/geti) version of [YOLOX-S](https://github.com/open-edge-platform/geti) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8.
+This is a [Geti™](https://github.com/open-edge-platform/geti) version of [YOLOX-S](https://github.com/open-mmlab/mmdetection/tree/main/configs/yolox) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8.
 
 To fine-tune your model with a custom dataset, you can use Geti™ to annotate data, perform fine-tuning, and export the resulting model.
 
@@ -67,11 +67,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model documentation](https://github.com/open-edge-platform/geti) for limitations.
+Check the [original model documentation](https://github.com/open-mmlab/mmdetection/tree/main/configs/yolox) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license. More details can be found in [training_extensions](https://github.com/open-edge-platform/geti).
+The original model is distributed under the [Apache-2.0](https://github.com/open-mmlab/mmdetection/blob/main/LICENSE) license. More details can be found in the [original model repository](https://github.com/open-mmlab/mmdetection/tree/main/configs/yolox).
 
 ## Disclaimer