StylExNet5k is a multi-style synthetic image dataset consisting of 5,000 images across 100 everyday object categories, each rendered in 10 distinct artistic or representational styles and placed in varied real-world contextual environments.
It is intended to support evaluation and training of computer vision and vision–language models across style and context domains.
