# Image Segmentation using DeepLab-v3 and Qualcomm Neural Processing SDK for AI

Source: [https://docs.qualcomm.com/doc/80-63442-4/topic/image-segmentation-deeplabv3.html](https://docs.qualcomm.com/doc/80-63442-4/topic/image-segmentation-deeplabv3.html)

Tools for deeper, more efficient analysis of images

Image segmentation is the task of partitioning an image into multiple segments for easier
            analysis. Google’s DeepLab-v3 has led to a major improvement in object detection using
            machine learning. Its semantic segmentation is able to fetch more details about the
            object such as its size, its position and whether it is in the background or
            foreground.

The Qualcomm® Neural Processing SDK for AI is a tool to optimize performance of trained
            neural networks on the [Snapdragon® mobile platform](https://www.qualcomm.com/products/technology/processors#overview). The following
            pages describe image segmentation using DeepLab-v3 and the Qualcomm Neural Processing
            SDK for AI.

- **[Classification, Object Detection and Image Segmentation](https://docs.qualcomm.com/doc/80-63442-4/topic/classification-object-detection-and-image-segmentation.html)**  

Attaining deeper understanding of images for machine learning models
- **[DeepLab-v3 using the Qualcomm Neural Processing SDK for AI on Ubuntu](https://docs.qualcomm.com/doc/80-63442-4/topic/deeplab-v3-on-ubuntu.html)**  

Procedure for training, converting and running a DeepLab model for image         segmentation
- **[DeepLab-v3 using Qualcomm Neural Processing SDK for AI on Android](https://docs.qualcomm.com/doc/80-63442-4/topic/deeplab-v3-on-android.html)**  

Running a DeepLab model for image segmentation on the mobile device

Last Published: Jun 24, 2024

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