Fixed broken link in iOS mobile tutorial (#10011)

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Nat Kershaw (MSFT) 2021-12-10 17:56:20 -08:00 committed by GitHub
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@ -18,6 +18,10 @@ The application uses the pre-trained quantized MobileNet SSD V1 model.
This example is heavily based on [Google Tensorflow lite - Object Detection Examples](https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/ios)
Here's an example screenshot of the app:
![Screenshot showing iOS objection detection app](../../../images/ios_screenshot_objdetect.jpg)
## Contents
{: .no_toc }
@ -110,13 +114,9 @@ This example is heavily based on [Google Tensorflow lite - Object Detection Exam
It is written entirely in Swift and uses a bridgingheader file for the framework to be used in a Swift app.
* The original TensorFlow tutorial and mode are [here])(https://www.tensorflow.org/lite/examples/object_detection/overview#get_started)
* The original TensorFlow tutorial and model are [here](https://www.tensorflow.org/lite/examples/object_detection/overview#get_started)
* For more information on converting tflite models to ONNX [Converting TFlite models to ONNX](https://github.com/onnx/tensorflow-onnx#getting-started)
* [Convert ONNX models to ORT format](https://onnxruntime.ai/docs/tutorials/mobile/model-conversion.html)
* [Convert ONNX models to ORT format](../../reference/ort-model-format.md)
#
Here's an example screenshot of the app:
<img width=25% src="images/ios_screenshot_objdetect.jpg" alt="App Screenshot" />

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