{"url":"/dataset/poet","name":"POET","full_name":"Pascal Objects Eye Tracking","description_markdown":"The POET (Pascal Objects Eye Tracking) is a dataset that consists of eye tracking data for the complete trainval set of ten objects classes (cat, dog, bicycle, motorbike, boat, aeroplane, horse, cow, sofa, dining table) from [Pascal VOC 2012](pascal-voc) (6,270 images in total). Each image is annotated with the eye movement record of five participants, whose task was to identify which object class was present in the image.\r\n\r\nPaper: [Training object class detectors from eye tracking data](https://doi.org/10.1007/978-3-319-10602-1_24)\r\n\r\nSource: [Pascal Objects Eye Tracking (POET) v1.1](http://calvin-vision.net/datasets/poet-dataset/)\r\n\r\nImage Source: [Pascal Objects Eye Tracking (POET) v1.1](http://calvin-vision.net/datasets/poet-dataset/)","description_withheld":null,"homepage":"http://calvin-vision.net/datasets/poet-dataset/","introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["POET"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}