# Step 6: Next steps
<a name="gs-step-next"></a>

After you finished trying the examples projects, you can use your own images and datasets to create your own model. For more information, see [Understanding Amazon Rekognition Custom Labels](understanding-custom-labels.md).

Use the labeling information in the following table to train models similar to the example projects.


| Example | Training images | Test images | 
| --- | --- | --- | 
|  Image classification (Rooms)  |  1 Image-level label per image  |  1 Image-level label per image   | 
|  Multi-label classification (Flowers)  |  Multiple image-level labels per image  |  Multiple image-level labels per image  | 
|  Brand detection (Logos)  |  image level-labels (you can also use Labeled bounding boxes)  |  Labeled bounding boxes  | 
|  Image localization (Circuit boards)  |  Labeled bounding boxes  |  Labeled bounding boxes  | 

The [Classifying images](tutorial-classification.md) shows you how to create a project, datasets, and models for an Image classification model.

For detailed information about creating datasets and training models, see [Creating an Amazon Rekognition Custom Labels model](creating-model.md).