Object detection API: test or validation dataset or both?

In general, the information on internet about tensorflow object detection api tells we only need to divide the dataset into train and test. But I find other information about machine learning that also talks about a validation dataset. Is the validation dataset important in object detection and in this framework?

Thank you

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