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

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 Qualcomm® Snapdragon™ mobile platform. The following pages describe image segmentation using DeepLab-v3 and the Qualcomm Neural Processing SDK for AI.

Classification, Object Detection and Image Segmentation

Attaining deeper understanding of images for machine learning models

DeepLab-v3 using Qualcomm Neural Processing SDK for AI on Ubuntu

Procedure for training, converting and running inference with a DeepLab model

DeepLab-v3 using Qualcomm Neural Processing SDK for AI on Android

Running a DeepLab model for image segmentation on the mobile device

Qualcomm Snapdragon and Qualcomm Neural Processing SDK are products of Qualcomm Technologies, Inc. and/or its subsidiaries.