{"url":"/dataset/bird","name":"BIRD","full_name":"Blocksworld Image Reasoning Dataset","description_markdown":"Blocksworld Image Reasoning Dataset (BIRD) contains images of wooden blocks in different configurations, and the sequence of moves to rearrange one configuration to the other. \r\n\r\nSource: [Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs](https://arxiv.org/pdf/1905.12042)","description_withheld":null,"homepage":"https://asu-active-perception-group.github.io/bird_dataset_web/","introduced_date":"2019-05-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/blocksworld-revisited-learning-and-reasoning","title":"Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs","first_author":"Tejas Gokhale","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Fine-Grained Image Classification","url":"/task/fine-grained-image-classification","datasets_with_task":"/datasets/task/fine-grained-image-classification"}],"languages":[],"variants":["Bird-225","BIRD"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fine-grained-image-classification-on-bird-225","task":"Fine-Grained Image Classification","dataset_variant":"Bird-225","rows":5,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"WideResNet-101 (Spinal FC)","paper":"/paper/a-comprehensive-study-on-torchvision-pre","metrics":{"Accuracy":"99.56"},"code_links":[{"title":"dipuk0506/SpinalNet","url":"https://github.com/dipuk0506/SpinalNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-comprehensive-study-on-torchvision-pre","title":"A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification","date":"2021-10-14","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/progressivespinalnet-architecture-for-fc","title":"ProgressiveSpinalNet architecture for FC layers","date":"2021-03-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spinalnet-deep-neural-network-with-gradual-1","title":"SpinalNet: Deep Neural Network with Gradual Input","date":"2020-07-07","rows_on_this_dataset":2,"code_links":3,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}