fruit-SALAD is a synthetic image dataset with 10,000 generated images of fruit depictions. This combined semantic category and style benchmark comprises 100 instances each of 10 easily recognizable fruit categories and 10 easy distinguishable styles. See the paper on Scientific Data or visit our project page. The carefully designed Style Aligned Artwork Dataset (SALAD) provides a controlled and balanced platform for the comparative analysis of similarity perception of different computational models. The SALAD framework allows the comparison of how these models perform semantic category and style recognition tasks, going beyond the level of anecdotal knowledge, making them robustly quantifiable and qualitatively interpretable. We used Stable Diffusion XL and StyleAligned to create the fruit-SALAD by carefully crafting text prompts and overseing the image generation process. The code to reproduce the fruit-SALAD_10k is available at GitHub. Please note that this dataset is available for academic research purposes only.