![]() ![]() The Nvidia AI-Assisted Annotation plugin has been updated to version v1.0.2, including the brand new DeepGrow feature of the Nvidia Clara Train Application Framework v3.0.įor more information, please visit the Nvidia Clara Train Application Framework documentation. Second update on Nvidia AI-Assisted Annotation Read the changelog for a selected short list of highlights since the last release MITK v2018.04.2.ĭownload MITK v2021.02 for Windows, Linux, or macOS. In the past two years we resolved a whopping 740 tasks to improve and extend MITK. We are happy to announce the release of MITK v2021.02 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2021.02.ĭownload MITK v2021.10 for Windows, Linux, or macOS. In the past eight months we resolved about 180 tasks to improve and extend MITK. We are happy to announce the release of MITK v2021.10 ( download here). ![]() Read the changelog for a selected short list of highlights since the last release MITK v2021.10.ĭownload MITK v2022.04 for Windows, Linux, or macOS. In the past six months we resolved about 130 tasks to improve and extend MITK. We are happy to announce the release of MITK v2022.04 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2022.04.ĭownload MITK v2022.10 for Windows, Linux, or macOS. In the past six months we resolved about 150 tasks to improve and extend MITK. We are happy to announce the release of MITK v2022.10 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2022.10.ĭownload MITK v2023.04 for Windows, Linux, or macOS. In the past six months we resolved about 140 tasks and pushed nearly 500 commits into our Git repository to improve and extend MITK. We are happy to announce the release of MITK v2023.04 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2023.04.ĭownload MITK v2023.12 for Windows, Linux, or macOS. In the past seven months we resolved about 130 tasks and pushed over 440 commits into our Git repository to improve and extend MITK. We are happy to announce the release of MITK v2023.12 ( download here). This app can also be used as the UI that trains compatible models on IBM Maximo Visual Inspection with the advantage of an integrated remote management experience for IBM Maximo Visual Inspection Mobile.Download MITK v2023.12 News MITK v2023.12 Release Published procedures can run on the IBM Inspector Portable app and IBM Inspector Wearable app. Procedures can be created, edited and published from IBM Inspection Workbench. Once models are trained on IBM Model Builder for Vision or Maximo Visual Inspection, IBM Inspection Workbench can deploy those models in near real-time to the IBM Inspector Portable app, the IBM Inspector Wearable app and the Maximo Visual Inspection Mobile app to create or update relevant inspections, all from one native iPadOS experience.Īlso, IBM Inspection Workbench introduces the concept of inspection procedures that enable multiple inspections to be conducted as a progression of steps. IBM Inspection Workbench is a native iPadOS app that works with IBM Model Builder for Vision or Maximo Visual Inspection to enable the labeling of images used to train computer vision models using an iPad with Apple Pencil on compatible devices.
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