# When exporting, the resolution expressed in json is lowered

**URL:** <https://discuss.roboflow.com/t/when-exporting-the-resolution-expressed-in-json-is-lowered/1270>\
**Category:** 🤝  Community Help\
**Created:** [January 10, 2023, 3:31am UTC](https://discuss.roboflow.com/t/when-exporting-the-resolution-expressed-in-json-is-lowered/1270 "2023-01-10T03:31:21Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![gilm](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/gilm/32/1005_2.png) [@gilm](https://discuss.roboflow.com/u/gilm)\
**Post date:** [January 10, 2023, 3:31am UTC](https://discuss.roboflow.com/t/when-exporting-the-resolution-expressed-in-json-is-lowered/1270/1 "2023-01-10T03:31:21Z")

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original images: 10870 x 10870  
result images after: 2047 x 2047

I chose nothing but auto-orient in augmentation.  
Is 2047 the maximum resolution supported by roboflow?

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**Author:** ![Mohamed](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/mohamed/32/62_2.png) [@Mohamed](https://discuss.roboflow.com/u/Mohamed)\
**Post date:** [January 11, 2023, 5:51pm UTC](https://discuss.roboflow.com/t/when-exporting-the-resolution-expressed-in-json-is-lowered/1270/2 "2023-01-11T17:51:14Z")

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Hi @gilm - I just spoke with the team and there’s functionality in our backend to automatically resize images down to a maximum of `2048 x 2048`, otherwise it crashes memory-wise.

The image transformation operations (dataset generation steps) become very slow for images of greater sizes. Dataset generation essentially creates new copies of each individual image.

Images of a size of `10870 x 10870` would greatly slow things down for all other users if they were accepted for dataset generation at that size.

Are you working with aerial or satellite imagery, and training a model to make detections in them? Or are these high-resolution images for another task/source? You’ll want to be using [Tiling (a Preprocessing step)](https://docs.roboflow.com/image-transformations/image-preprocessing#tiling) during dataset generation, as images of over 10k pixels by 10k pixels would give you a _very_ slow model training time; are likely be too big to fit into memory; and give you very slow inference speeds.

- [Small Object Detection Guide](https://blog.roboflow.com/detect-small-objects)

 ![image](https://canada1.discourse-cdn.com/flex029/uploads/roboflow1/original/2X/5/5e0b90db4fd8aa176d166d304cf8ef8a583938d4.png)

- [Launch: Edge Tiling During Inference](https://blog.roboflow.com/edge-tiling-during-inference/)

 ![image](https://canada1.discourse-cdn.com/flex029/uploads/roboflow1/original/2X/2/2c7bcd9871dec9e487a672ababaa5344e5c2a0dc.png)