FGVCAircraft (FineGrained Visual Classification of Aircraft) is a benchmark dataset for finegrained image classification of aircraft. The dataset contains ~10,000 images organized in a threelevel hierarchy (manufacturer / family / variant) covering 100 aircraft models (variants) and multiple manufacturers/families. It was introduced to support finegrained visual categorization research and includes image-level annotations and evaluation code; it has been widely used in fewshot and finegrained classification evaluations. Official project page and the original paper (arXiv:1306.5151) provide download links and annotation files. (No additional split information was provided in the paper beyond the benchmark/evaluation protocol.)
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