The Animal Sound Classification Dataset is a curated collection of labeled audio samples of various animal sounds, specifically designed for training and evaluating machine learning models in sound classification and audio recognition tasks. The dataset consists of short audio clips (in .wav format) of common animals such as dogs, cats, cows, and more, each accurately labeled for supervised learning tasks.

This dataset is ideal for research and educational purposes, enabling developers to build and test models that can classify animal sounds based on audio features.