Deepomatic Platform
  • Overview
  • Release notes
    • May 2025
    • January 2025
    • November 21, 2024
    • October 17, 2024
    • September 19, 2024
    • July 18, 2024
    • June 27, 2024
    • May 23, 2024
    • April 18, 2024
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    • February 22, 2024
    • January 18, 2024
    • December 13, 2023
    • October 26, 2023
    • July 20, 2023
    • June 29, 2023
    • May 29, 2023
    • April 27, 2023
    • March 30, 2023
    • February 17, 2023
    • January 19, 2023
    • December 22, 2022
    • November 18, 2022
    • October 19, 2022
    • September 19, 2022
    • July 27, 2022
    • June 26, 2022
    • May 17, 2022
    • April 13, 2022
    • March 17, 2022
    • February 10, 2022
    • December 21, 2021
    • October 26, 2021
  • Getting started
  • ADMIN & USER MANAGEMENT
    • Invite and manage users
      • Invite group of users at once
      • SSO
        • OIDC
        • SAML
  • Deepomatic Engage
    • Integrate applications
      • Deepomatic vocabulary
      • Deepomatic connectors
        • Set-up
        • Camera Connector
        • Work Order Connector
      • API integration
        • Authentication
        • Errors
        • API reference
          • Work order management
          • Analysis
            • Guide field workers
            • Perform an analysis
            • Correct an analysis
          • Data retrieval
          • Endpoints' list
      • Batch processing
        • Format
        • Naming conventions
        • Processing
        • Batch status & errors
      • Data export
    • Use the mobile application
      • Configure a mobile application
      • Create & visualize work orders
      • Complete work orders
      • Offline experience
    • Manage your business operations with customisable solutions
      • Roles
      • Alerting
      • Field services
        • Reviewing work orders
        • Exploring work orders
        • Grouping work orders
        • Monitoring assets performance
      • Insights
  • Security
    • Security
    • Data Protection
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  1. Release notes

January 2025

Last updated 4 months ago

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NEW FEATURES 🚀

New training pipeline with Argo workflow

We moved from Celery to an Argo jobs based solution, allowing us to increase stability, observability and robustness during the training process. This also unlocks some features such as:

  • We are now able to stop training directly from the model training page :

  • Observability: It is now possible to download the logs for every training. The log file will include information about the training (parameters, optimizer, dataset options ...) and also error messages in case of failed training.

Introducing a new Job management page on the Drive part of the platform. The aim is to give the ability to manage training, imports and exports at the Organisation level. This gives better visibility on all the different jobs and allows users to monitor and download the logs of every job. (Click on the page below to launch the demo)

Our system is now able to support batch inference, which leads to a significant reduction of the response time.

How it works: In a few words, when the same model is used multiple times in a row for the same image, instead of inferencing one by one the different parts of the image we are now able to launch the inferences in batch on the different crop of the image. This is particularly useful when we classify multiple objects on an image.

Manage all jobs in one place: Job management page

Batch inferencing