# Test data spatial resolution

**URL:** <https://community.drivendata.org/t/test-data-spatial-resolution/7661>\
**Category:** Segmenting Buildings for Disaster Resilience\
**Created:** [April 25, 2022, 2:01pm UTC](https://community.drivendata.org/t/test-data-spatial-resolution/7661 "2022-04-25T14:01:37Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Damjanh](https://avatars.discourse-cdn.com/v4/letter/d/5fc32e/32.png) [@Damjanh](https://community.drivendata.org/u/Damjanh)\
**Post date:** [April 25, 2022, 2:01pm UTC](https://community.drivendata.org/t/test-data-spatial-resolution/7661/1 "2022-04-25T14:01:37Z")

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@[johnowhitaker](https://community.drivendata.org/u/johnowhitaker)  
@[Agedev](https://community.drivendata.org/u/Agedev)  
As mentioned in the problem description, the images in the test set have been generated without valid georeferencing. “The correct georeferences for the test chips have been removed”. I am doing some research on the influence of remote sensing data scale on deep learning models and am interested in the spatial/geodetic resolution of the test images. Would it be possible to get the original images the test set was tiled from with correct georeferences?

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**Author:** ![glipstein](https://yyz2.discourse-cdn.com/flex028/user_avatar/community.drivendata.org/glipstein/32/920_2.png) [@glipstein](https://community.drivendata.org/u/glipstein)\
**Post date:** [April 29, 2022, 10:41pm UTC](https://community.drivendata.org/t/test-data-spatial-resolution/7661/2 "2022-04-29T22:41:38Z")

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Hi @Damjanh - Have you checked the data on Radiant MLHub? You may find it helpful to follow up there. See here for more info [Competition: Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience](https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/page/219/)