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The DongNiao International Birds 10000 Dataset

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arxiv 2010.06454 v2 pith:COCDOJL6 submitted 2020-09-21 cs.CV cs.LG

Jian Mei , Hao Dong This is my paper · ORCID
classification cs.CVcs.LG
keywords birdsdatasetdib-10kdongniaoimagesinternationalchallengingcopyright
verification ladder T0 review T1 audit T2 compute T3 formal

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DongNiao International Birds 10000 (DIB-10K) is a challenging image dataset which has more than 10 thousand different types of birds. It was created to enable the study of machine learning and also ornithology research. DIB-10K does not own the copyright of these images. It only provides thumbnails of images, in a way similar to ImageNet.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 3 citations worldwide. Full citation record

  1. Quantifying Avian Morphological Evolution through Deep Representation Learning

    q-bio.PE 2026-02 reject novelty 6.0 of 10

    Features extracted from a 10,000-species bird classifier form a visual morphospace that shows a rapid early burst of morphological disparity after the K-Pg extinction.

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