# Download models and sample images

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/download-models-and-sample-images.html](https://docs.qualcomm.com/doc/80-70014-54/topic/download-models-and-sample-images.html)

The samples in [Getting started](https://docs.qualcomm.com/doc/80-70014-54/topic/getting-started.html) use the label\_image sample
        application provided by the TensorFlow Lite framework, which can run any classification
        models (for example, MobileNet v1, v2).

Before you begin, ensure that you have the following:

- Ubuntu 22.04 host machine
- RB3 Gen 2 Vision/Core kit

To use sample applications, download the following:

- Sample model
- Corresponding labels file
- Sample image

The sample applications described use the MobileNet v1 model, which is trained on an
            ImageNet data set with 1000 classes as an example. The MobileNet v1 model demonstrates a
            model trained to classify an image.

For instructions on how to download and copy the models, labels file, and image to the
                `/opt/` directory on the device, see [Getting started](https://docs.qualcomm.com/doc/80-70014-54/topic/getting-started.html).

**Parent Topic:** [Sample applications](https://docs.qualcomm.com/doc/80-70014-54/topic/sample-applications.html)

Last Published: Jul 12, 2024

[Previous Topic
Sample applications](https://docs.qualcomm.com/bundle/publicresource/80-70014-54/topics/sample-applications.md) [Next Topic
Run a TensorFlow Lite model using an available delegate](https://docs.qualcomm.com/bundle/publicresource/80-70014-54/topics/label-image-tool.md)