# qtimlaclassification Source: [https://docs.qualcomm.com/doc/80-70020-50/topic/qtimlaclassification.html](https://docs.qualcomm.com/doc/80-70020-50/topic/qtimlaclassification.html) The qtimlaclassification plugin processes the output tensors of an audio classification model from the ML inference plugin ((such as qtimltflite) into a result of predictions. The negotiated [GstCaps](https://gstreamer.freedesktop.org/documentation/gstreamer/gstcaps.html) determines the processed output on the plugin output. For example, to infer the audio results from an MP4 file and integrate the audio classification with the original video frames, the output can be either of the following: - An image mask (GstCaps: video/x-raw), which are applied over the original image using qtivcomposer. - A GStreamer formatted text (GstCaps: text/x-raw) containing the prediction results. The plugin uses the CPU-based [Cairo](https://www.cairographics.org) 2D graphics library for image overlay mask. The image overlay mask enables Cairo to draw the prediction results in ION/DMA buffers. The GstImageBufferPool custom buffer pool class allocates the ION/DMA buffers through IOCTL commands to the kernel. In the versatile text format, the prediction results are parsed into GStreamer-formatted string inside the buffers allocated using the regular system memory. The module and labels properties of the plugin determine the method used for postprocessing operations. - The module property specifies the postprocessing module, which runs dynamically at runtime with the available libraries at `in /usr/lib/gstreamer-1.0/ml/modules/` containing the prefix `ml-aclassification-` - The labels property is a customized text file different for each machine learning detection model that you must provide for the prediction labels. Optional properties are available for adjusting the prediction results. - Use the `results` property to control the number of results that are displayed - Use the `threshold` property to set a confidence threshold for prediction. The results with low confidence aren't displayed. ## Inheritance chain [GObject](https://docs.gtk.org/gobject/) → [GstObject](https://gstreamer.freedesktop.org/documentation/gstreamer/gstobject.html?gi-language=c) → [GstElement](https://gstreamer.freedesktop.org/documentation/gstreamer/gstelement.html?gi-language=c) → [GstBaseTransform](https://gstreamer.freedesktop.org/documentation/base/gstbasetransform.html?gi-language=c) → GstMLAudioClassification The following tables provide information on pad templates and element properties of qtimlsnpe. For use cases, [Audio classification decode and display with LiteRT](https://docs.qualcomm.com/doc/80-70020-50/topic/audio-classification-with-litert.html). ## Pad configuration | Pad Name | Capabilities | Capabilities | Capabilities | | --- | --- | --- | --- | | SINK template: 'sink'
| neural-network/tensors | – | – | | SRC template: 'src'
| video/x-raw | format: | { (string)BGRA, (string)BGRx, (string)BGR16 } | | SRC template: 'src'
| video/x-raw(memory:GBM) | format: | { (string)BGRA, (string)BGRx, (string)BGR16 } | | SRC template: 'src'
| text/x-raw | format: | { (string)utf8 } | | | | | | | | | | | ## Element configuration Table : Element properties of qtimlaclassification | Property | Description | | --- | --- | | name | The name of the object.
| | parent | The parent of the object.
| | qos | Handle the quality-of-service events.
| | module | The module name that's used to process the tensors.
| | labels | The labels filename.
| | results | The number of results to display.
| | threshold | The confidence threshold in %.
| **Parent Topic:** [Configure ML plugins](https://docs.qualcomm.com/doc/80-70020-50/topic/inferencing-plugins.html) Last Published: Jan 30, 2026 [Previous Topic qtimlvclassification](https://docs.qualcomm.com/bundle/publicresource/80-70020-50/topics/qtimlvclassification.md) [Next Topic qtimlvdetection](https://docs.qualcomm.com/bundle/publicresource/80-70020-50/topics/qtimlvdetection.md)