> For the complete documentation index, see [llms.txt](https://docs.deepomatic.com/platform-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.deepomatic.com/platform-documentation/release-notes/january-18-2024.md).

# January 18, 2024

## IMPROVEMENTS 👍 <a href="#improvements" id="improvements"></a>

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* Improvements in the model-sharing experience and Deepomatic models page&#x20;

<img src="https://content.gitbook.com/content/gmfYsBwyGGbiAMWJv9xC/blobs/ZyE9O0pfFDjolgfn9xpM/Mobile%20app%20tag.png" alt="" data-size="line">

* The search feature has been made more typo-tolerant. In particular, case sensitivity and accent sensitivity have been removed. In the mobile app settings, it is possible to configure whether the search is typo-tolerant or not.&#x20;
* In the mobile app settings, field workers can now choose whether they want to display or not work orders 100% completed. By default, all work orders are displayed.&#x20;

## FIXES 🔧 <a href="#fixes" id="fixes"></a>

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* The progress\_score is now updated when the work\_order\_types key is patched. Once the work\_order\_types of a work order are modified, the progress\_score is therefore computed taking into account the tasks included in the new work\_order\_types set.
* It is possible to use URLs in order to analyze PDF files. Now, both Base64 and URLs are accepted to analyze PDF files.&#x20;

#### <img src="https://content.gitbook.com/content/gmfYsBwyGGbiAMWJv9xC/blobs/MHsuOXAaG6htvzQmHwVL/Tag%20projects.png" alt="" data-size="line"> <a href="#introducing-work-order-type" id="introducing-work-order-type"></a>

* Several Export <> Import issues are fixed:
  * View conditions can flawlessly get re-imported
  * The val/train split of images is respected in the import
  * Renaming a view in the original project will not create any issues in reimporting the project<br>

* Several count-related issues are resolved and a few improvements are made:

  * The image distribution count on the overview piechart is corrected and improved to include the counts of total and unannotated images in val/train sets.
  * The per-concept distribution chart accurately displays the number of annotations, and detection views it allows you to toggle between annotation and image counts.

* The default data augmentations in training are removed to give you the possibility to choose the required argumentation

<img src="https://content.gitbook.com/content/gmfYsBwyGGbiAMWJv9xC/blobs/ZyE9O0pfFDjolgfn9xpM/Mobile%20app%20tag.png" alt="" data-size="line">

* In the connectors (Camera and Work order), the callback URL was not working after the page was refreshed. The issue has been fixed.&#x20;