# Use AI Hub models with the GStreamer API
This section explains how to use AI Hub models and labels with
GStreamer commands on Qualcomm evaluation kits.
Classify images
Classify images from the Imagenet dataset.
https://docs.qualcomm.com/doc/80-80020-15B/topic/image-classification.html
Detect objects
Predict bounding boxes and classes of objects in an image.
https://docs.qualcomm.com/doc/80-80020-15B/topic/object-detection.html
Apply semantic segmentation to frames of a video
Assign a class label to every pixel in an image.
https://docs.qualcomm.com/doc/80-80020-15B/topic/semantic-segmentation.html
Upscale images with super resolution
Upscale images on to sharpen them in real-time.
https://docs.qualcomm.com/doc/80-80020-15B/topic/super-resolution.html
Prerequisites
1. Download model files from [IoT - Qualcomm AI Hub](https://aihub.qualcomm.com/iot/models).
2. Select `tflite` as the runtime and `w8a8` as the precision. Reference step to download model:

3. Filter by **Chipset** and select **Qualcomm QCS6490** for Qualcomm Dragonwing™ RB3 Gen 2, **QCS9075** for IQ-9075 and **Qualcomm QCS8275** for IQ-8275.
4. If you haven’t downloaded the label files from any of previous sections, download and unzip the labels by running the following commands on your device:
wget https://github.com/quic/sample-apps-for-qualcomm-linux/releases/download/labels/labels.zip
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unzip -d /etc/ labels.zip
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5. Push the models to the `/etc/` directory on the target device .
- `/etc/models/` for all model files
- `/etc/labels/` for all label files
- `/etc/media/` for all video files
- `/etc/configs/` for all configuration files
Note
1. The constants and model name for each model may change
subject to AI Hub updates.
See [Integrate an AI Hub model in an application](https://docs.qualcomm.com/doc/80-80020-15B/topic/integrate-ai-hub-models.html) for model constant information.
2. The following sections use placeholder model names for models downloaded through AI Hub.
Update the model name in the commands with the appropriate model name as downloaded
through AI Hub.
Last Published: Feb 27, 2026
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