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