What are TensorFlow datasets?
The question is about Tensorflow
The TFDS library provides ready-to-use datasets with out-of-the-box integration for use in machine learning to easily fit into TensorFlow workflows. It hosts a variety of ‘common’ datasets on image classification, natural language processing, object detection, and many others that are already pre-formatted for loading and pre-processing. TFDS allows for efficient handling of data by loading, shuffling, and batching of datasets directly in TensorFlow pipelines. This saves memory and ensures better performance during model training. With TFDS, users have access to easily curated datasets, allowing fast experimentation with the guarantee of consistency in data preparation during the development of machine learning projects.
