# Train custom Neural Networks

## **Why train models in Supervisely**

* Get started in one click: don't waste dozens of hours figuring out how to install, configure and adapt another model from the Internet - we've done the hard part for you.
* Convenient user interface. With the simplified way we create interfaces using Supervisely Apps, we can add a GUI to make it easier to interact with the integrated code.
* Deployment on any computer. Run the auto-generated command in a terminal to launch Supervisely Agent and simply deploy new training tasks with a few clicks.
* We work together as a team. Because these models and tools now work online instead of on your personal computer, you can easily share and collaborate with your team members.
* Integration with other applications: a project converted into an application has access to the entire ecosystem: import from different formats, visualization, exploration and much more!

## **Some examples of the train dashboards:**

* [Train Detectron2](https://ecosystem.supervisely.com/apps/detectron2/supervisely/train)
* [Train MMSegmentation](https://ecosystem.supervisely.com/apps/mmsegmentation/train)
* [Train YOLOv8](https://ecosystem.supervisely.com/apps/yolov8/train)
* [Train MMClassification](https://ecosystem.supervisely.com/apps/mmclassification/supervisely/train)
* [Train UNet](https://ecosystem.supervisely.com/apps/unet/supervisely/train)

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## **Step-by-step tutorials on training models in Supervisely:**

* [No-code tutorial: train and predict YOLOv8 on custom data](https://supervisely.com/blog/train-yolov8-on-custom-data-no-code/)
* [How to Train Smart Tool for Precise Cracks Segmentation in Industrial Inspection](https://supervisely.com/blog/industrial-inspection-cracks-segmentation/)
* [How to Train a Model with Only 62 Labeled Images using Semi-Supervised Learning](https://supervisely.com/blog/train-a-model-with-62-labeled-images-hrda-semi-supervised/)