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2 changes: 1 addition & 1 deletion docs/machine-learning/tutorials/object-detection-onnx.md
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Expand Up @@ -98,7 +98,7 @@ Now that you have a general understanding of what ONNX is and how Tiny YOLOv2 wo

1. Copy the `assets` directory into your *ObjectDetection* project directory. This directory and its subdirectories contain the image files (except for the Tiny YOLOv2 model, which you'll download and add in the next step) needed for this tutorial.

1. Download the [Tiny YOLOv2 model](https://onnxzoo.blob.core.windows.net/models/opset_8/tiny_yolov2/tiny_yolov2.tar.gz) from the [ONNX Model Zoo](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny_yolov2), and unzip.
1. Download the [Tiny YOLOv2 model](https://onnxzoo.blob.core.windows.net/models/opset_8/tiny_yolov2/tiny_yolov2.tar.gz) from the [ONNX Model Zoo](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny-yolov2), and unzip.

Open the command prompt and enter the following command:

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