# How to start with monailabel for new models

**URL:** <https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063>\
**Category:** Support\
**Tags:** monailabel\
**Created:** [December 14, 2021, 10:55pm UTC](https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063 "2021-12-14T22:55:54Z")\
**Posts on this page:** 1\
**Showing post:** 61

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**Author:** ![rbumm](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/rbumm/32/9404_2.png) [@rbumm](https://discourse.slicer.org/u/rbumm)\
**Post date:** [June 3, 2022, 7:26pm UTC](https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063/61 "2022-06-03T19:26:04Z")

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It can confirm that actually works in Windows 11 native too.

Needed to install Python 3.9, then

```auto
git clone https://github.com/Project-MONAI/MONAILabel
$Env:PATH += ";C:\Users\rudol\MONAILabel\monailabel\scripts"
monailabel apps --download --name radiology --output apps
# modify segmentation.py by hand, add the lung and airway labels
monailabel datasets --download --name Task06_Lung --output datasets
monailabel start_server --app ./apps/radiology --studies ./datasets/Task06_Lung/imagesTr --conf models segmentation --conf use_pretrained_model false

```

I train 7-8 datasets, but all I get from auto segmentation is something like

 ![image](https://us1.discourse-cdn.com/flex002/uploads/slicer/original/3X/8/2/8225eefd7f4dda4c4d33f20e6047b19ea4d6ef92.jpeg)

where only the first segment carries the displayed data.

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