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  # rtdetr_50-fp16-ov
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  - Model creator: [Geti™](https://github.com/open-edge-platform/geti)
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- - Original model: [RT-DETR ResNet-50](https://github.com/open-edge-platform/geti)
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  ## Description
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- This is a [Geti™](https://github.com/open-edge-platform/geti) version of [RT-DETR ResNet-50](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 FP16.
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  To fine-tune your model with a custom dataset, you can use Geti™ to annotate data, perform fine-tuning, and export the resulting model.
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  ## Limitations
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- Check the original [model documentation](https://github.com/open-edge-platform/geti) for limitations.
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  ## Legal information
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- 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).
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  ## Disclaimer
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  # rtdetr_50-fp16-ov
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  - Model creator: [Geti™](https://github.com/open-edge-platform/geti)
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+ - Original model: [RT-DETR ResNet-50](https://github.com/roboflow/rf-detr)
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  ## Description
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+ This is a [Geti™](https://github.com/open-edge-platform/geti) version of [RT-DETR ResNet-50](https://github.com/roboflow/rf-detr) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16.
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  To fine-tune your model with a custom dataset, you can use Geti™ to annotate data, perform fine-tuning, and export the resulting model.
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  ## Limitations
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+ Check the [original model documentation](https://github.com/roboflow/rf-detr) for limitations.
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  ## Legal information
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+ The original model is distributed under the [Apache-2.0](https://roboflow.com/licensing) license. More details can be found in the [original model repository](https://github.com/roboflow/rf-detr).
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  ## Disclaimer
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