Bird Species is a bird image classification dataset suitable for training computer vision models to identify and classify bird species.

The dataset contains 7 different species, each with 1,200 images. The images of each species contain the feather patterns, colors, and body structures of the birds of that species. Some of the images are intentionally blurred, tilted, or contain 2 birds of different species, which increases the complexity of the real world and makes the model more robust for accurate classification in natural environments.