(tutorials)=

# Tutorials

In the following, some tutorials using LightlyTrain can be found. The tutorials are a
good starting point to learn about LightlyTrain.

```{toctree}
---
maxdepth: 1
---
resnet/index
yolo/index
depth_estimation/index
embedding/index
debugging_tools/index
```

## Interactive Notebooks

The following Jupyter notebooks demonstrate how to use LightlyTrain for various computer
vision tasks. Each notebook can be viewed directly in the documentation or opened in
Google Colab for interactive execution.

```{toctree}
---
maxdepth: 1
caption: Core Tasks
---
object_detection
eomt_instance_segmentation
ltdetr_instance_segmentation
eomt_semantic_segmentation
eomt_panoptic_segmentation
depth_estimation
image_classification
```

```{toctree}
---
maxdepth: 1
caption: ONNX & TENSORRT EXPORT TUTORIALS
---
object_detection_export
eomt_instance_segmentation_export
ltdetr_instance_segmentation_export
eomt_semantic_segmentation_export
eomt_panoptic_segmentation_export
depth_estimation_export
```

```{toctree}
---
maxdepth: 1
caption: Package Integrations
---
ultralytics_yolo
yolov12
rfdetr
torchvision_embedding_model
```

```{toctree}
---
maxdepth: 1
caption: Advanced
---
distillation
pca_feature_visualization
```