Deepomatic Platform
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    • January 2025
    • November 21, 2024
    • October 17, 2024
    • September 19, 2024
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    • June 27, 2024
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  • Getting started
  • ADMIN & USER MANAGEMENT
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      • Invite group of users at once
      • SSO
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  • Deepomatic Engage
    • Integrate applications
      • Deepomatic vocabulary
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        • Set-up
        • Camera Connector
        • Work Order Connector
      • API integration
        • Authentication
        • Errors
        • API reference
          • Work order management
          • Analysis
            • Guide field workers
            • Perform an analysis
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          • Data retrieval
          • Endpoints' list
      • Batch processing
        • Format
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      • 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
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        • Reviewing work orders
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  • Security
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On this page
  • Prerequisite:
  • Upload & Progress report
  • Finding the added images

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  1. Deepomatic Drive
  2. Adding and managing data
  3. Adding images

Use Json file and via studio UI

Last updated 1 year ago

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Uploading images with a Json file is the recommended solution if you need to add a large number of images.

However, this option can be used in 2 ways:

  • If your images are reachable via public URLs or internal URIs, you can fill your JSON file with the correct format and upload the file to the platform; you can follow this page as a manual for performing the steps.

  • Otherwise, if you have images stored locally you can go with the Dataset command interface option.

Prerequisite:

Having your images accessible, we need to tell Deepomatic Studio where to find the images, as well as add any useful information associated with images. For this purpose, you need to follow the platform's expected structure in your import JSON file as explained in detail in the following.

Upload & Progress report

You can start the import process by dragging & dropping or browsing your well-formatted import JSON file into the image portal in your project.

Right after, the import process will be started by launching an import job. You can track the progress of your import on the import portal.

If a data line contains errors, the platform skips the data, proceeds with the next data line, and at the end of the import process throws a warning and logs the error in the provided log file.

At the end of the process, you will get the final report of your import process:

When your import is fully successful you will get notified that the import is completed without errors:

When your import finished with errors, you will get notified by a warning status and you will be provided with the downloadable logs as result_job.zip that include 3 files:

  • error_report.json: which includes the information about the errors that have occurred regarding your import job

  • result_report.json: which includes a brief report about your import job

  • import.json: which includes a ready-to-be-imported file that contains all the images that we didn't manage to import due to the errors

All the information about your launched imports (during the last 2 months) will be saved in History and is accessible in the History modal. For the imports that have finished with warnings, the corresponding log zip file is also available in the history.

Finding the added images

When importing images, you can find them in the Explore images tab. In that tab, without any other sorting, the images are sorted by batch. You will then find the images you've just uploaded on the last page of the section. However, within a given batch, the order of the images will not be exactly the same as the order in which you dragged the files.

Studio Import file format
Continuous progress status
Import completed without errors
Warning status for imports finishing with errors