# Step 6: Next steps
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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).