Step 6: Next steps
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.
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 Tutorial: Classifying images 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.
