Datasets › Banapple
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
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
MIT License
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Banapple
1 variant name, as the archive lists them.
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