SPOT-10 (Animal Pattern Benchmark Dataset for Machine Learning Algorithms)

The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species. Specifically, SPOTS-10 contains 50,000 32 x 32 grayscale images, divided into ten categories, with 5,000 images per category. The training set comprises 40,000 images, while the test set contains 10,000 images. The SPOTS-10 dataset is freely available on the project GitHub page: https://github.com/amotica/spots-10 by cloning the repository.

SPOTS-10数据集系一幅幅灰度图像的丰富汇编，生动呈现了十种动物物种中存在的多种图案。该数据集具体包含50,000张32x32像素的灰度图像，分为十个类别，每个类别拥有5,000张图像。训练集由40,000张图像构成，而测试集则包含10,000张图像。SPOTS-10数据集可通过访问项目GitHub页面免费获取，网址为：https://github.com/amotica/spots-10，通过克隆存储库即可获得。