TensorFlow Datasets

TensorFlow Datasets (TFDS) is a powerful tool for anyone working with machine learning. It provides a collection of ready-to-use datasets that can be easily used with TensorFlow or any other Python ML framework. All datasets are exposed as tf.data.Datasets, making it easy to use them in your input pipeline.

With TFDS, you can quickly get started with your machine learning projects and save time by not having to collect and prepare your own data. The library currently contains a wide variety of datasets, including image classification, object detection, text classification, and more. In addition, the library provides tools for creating new datasets from scratch, which can be useful for researchers or developers who need to create custom datasets for their own projects. TFDS is open source and released under the Apache 2.0 license. To be able to use TFDS, you will need to install it:

pip install tensorflow-datasets

Once installed, you can import it...