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IBM Visual Insights

Enterprise-grade suite of tools for labeling raw datasets for training, creating, and deploying deep learning-based vision models

IBM Visual Insights 1.2.0

Available: 03/13/2020

Overview

IBM Visual Insights 1.2.0, formerly PowerAI Vision, is a video/image analysis platform that offers built-in deep learning models that learn to analyze images and video streams for classification and object detection.

IBM Visual Insights includes tools and interfaces that allow anyone with limited skills in deep learning technologies to get up and running quickly and easily. And because IBM Visual Insights is built on open source frameworks for modeling and managing containers it delivers a highly available platform that includes application life-cycle support, centralized management and monitoring, and support from IBM.

What’s new?

IBM PowerAI Vision is now IBM Visual Insights

To accommodate the diversity of infrastructures used for AI solutions, IBM has expanded support of its award-winning software beyond POWER architectures to include Intel platforms. To avoid confusion in the marketplace, IBM PowerAI Vision has been renamed IBM Visual Insights. In addition to its current functions, IBM Visual Insights 1.2.0 now offers:

  • Support on x86-based servers with GPUs for training and inference
  • Availability on IBM Cloud as a client-managed service

In addition:

  • The installation location has changed from /opt/powerai-vision to an IBM standard location: /opt/ibm/vision
  • Runtime tools have removed powerai- from the tool names. For example, vision-start.sh
  • Runtime Docker container and Kubernetes pod names have removed powerai- from the name

Technology updates and features

IBM Visual Insights 1.2.0 builds upon previous releases of PowerAI Vision, and includes the following updates and features:

  • Platform support expanded:
    • Training and Inference on x86 servers with Nvidia GPU acceleration. Full feature parity – model support and function.
    • Inference Server support parity on x86. Support for SSD object detection model deployment.
    • IBM Cloud beta deployment.
  • Enhanced post-processing support: Automatic population of data set with inference results.
  • Update of User Interface: IBM Carbon X – improved support for tablet format.
  • Improved handling of phone images: EXIF processing/rotation on image load.

For all the details, see the What’s New topic in the IBM Knowledge Center.

Key features

  • Streamlined model training
    Use existing models that are already trained as starting point to reduce the time required to train models and improve trained results.
  • Single-click model deployment
    After you create a training model, deploy an API with one click. You can then develop applications based on the model that you deployed.
  • Data set management and labeling
    Manage both raw and labeled data.
  • Video object detection and labeling assistance
    Videos that you import can be scanned for objects and the objects can be automatically labeled.
  • Supported hardware
    • POWER8 S822LC (8335-GTB) or POWER9 AC922 with at least one NVIDIA NVLink capable GPU
    • POWER9 IC922 with at least one NVIDIA T4 GPU
    • x86 system with at least one NVIDIA Pascal, Volta, or Turing-architecture GPU
    • 64 GB of memory
  • Supported operating systems
    • Red Hat Enterprise Linux (RHEL) RHEL 7.6 ALT (little endian) for POWER9™
    • Ubuntu 18.04 or later
    • RHEL 7.7 for x86
  • Planning information and considerations
  • Install information
  • Training and working with models

Give it a try

IBM Visual Insights (and PowerAI Vision) code patterns, tutorials, and learning paths

Check out these real world examples and tutorials that highlight IBM Visual Insights in action.

Additional resources to help you get started

Requesting enhancements for IBM Visual Insights

The IBM Request for Enhancement (RFE) tool is now available for you to submit formal enhancement requests to the IBM Visual Insights development team. One of the benefits of using the RFE tool is that other clients can vote on submitted requirements, which helps IBM to prioritize requests.

Get started

Go here get started: ibm.biz/vision-rfe

The RFE for IBM Visual Insights pages are part of IBM Developer and require that you sign in with an IBM ID to submit or vote on a request. You should make sure that your IBM ID profile includes your current company and your email address to ensure that we can contact you if we have questions.

Search first

Once on the RFE page, click on the “Search” tab to view existing requests before you submit a new request. It is much more useful to vote for a previously submitted request than to submit a duplicate request.

Previous releases

We recommend that you install the most current release of IBM Visual Insights, however, if you have an earlier version of PowerAI Vision installed, you can find release information in the IBM Knowledge Center:

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