{"url":"/dataset/isun","name":"iSUN","full_name":"iSUN","description_markdown":"**iSUN** is a ground truth of gaze traces on images from the SUN dataset. The collection is partitioned into 6,000 images for training, 926 for validation and 2,000 for test.\r\n\r\nSource: [End-to-end Convolutional Network for Saliency Prediction](https://arxiv.org/abs/1507.01422)\r\nImage Source: [http://turkergaze.cs.princeton.edu/](http://turkergaze.cs.princeton.edu/)","description_withheld":null,"homepage":"http://turkergaze.cs.princeton.edu/","introduced_date":"2015-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/turkergaze-crowdsourcing-saliency-with-webcam","title":"TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking","first_author":"Pingmei Xu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Out-of-Distribution Detection","url":"/task/out-of-distribution-detection","datasets_with_task":"/datasets/task/out-of-distribution-detection"},{"name":"Saliency Detection","url":"/task/saliency-detection","datasets_with_task":"/datasets/task/saliency-detection"},{"name":"Saliency Prediction","url":"/task/saliency-prediction","datasets_with_task":"/datasets/task/saliency-prediction"}],"languages":[],"variants":["iSUN"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/detectors/isun-ood","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":108,"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":"2026-09-24T18:15:14+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."}