Omkar2118/datasets huggingface dataset:
Banapple

The dataset consists of images of bananas and apples. It was created by collecting images, under the Creative Commons license, from Flickr. The images illustrate bananas and apples with variations regarding the color, placement, size, and background. The motivation for the construction of this dataset stems from studies in cognitive science, where human perception is investigated using examples with discrete properties of bananas and apples.
It can be used in the context of explainable/interpretable image classification as in: 
Dimas, G., Cholopoulou, E., & Iakovidis, D. K. (2023). E pluribus unum interpretable convolutional neural networks. Scientific Reports, 13(1), 11421. https://www.nature.com/articles/s41598-023-38459-1

Introducing paper: E Pluribus Unum Interpretable Convolutional Neural Networks