{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hyperspectral-image-dataset-for-benchmarking","title":"Hyperspectral Image Dataset for Benchmarking on Salient Object Detection","arxiv_id":"1806.11314","date":"2018-06-29","proceeding":null,"authors":["Nevrez Imamoglu","Yu Oishi","Xiaoqiang Zhang","Guanqun Ding","Yuming Fang","Toru Kouyama","Ryosuke Nakamura"],"abstract":"Many works have been done on salient object detection using supervised or\nunsupervised approaches on colour images. Recently, a few studies demonstrated\nthat efficient salient object detection can also be implemented by using\nspectral features in visible spectrum of hyperspectral images from natural\nscenes. However, these models on hyperspectral salient object detection were\ntested with a very few number of data selected from various online public\ndataset, which are not specifically created for object detection purposes.\nTherefore, here, we aim to contribute to the field by releasing a hyperspectral\nsalient object detection dataset with a collection of 60 hyperspectral images\nwith their respective ground-truth binary images and representative rendered\ncolour images (sRGB). We took several aspects in consideration during the data\ncollection such as variation in object size, number of objects,\nforeground-background contrast, object position on the image, and etc. Then, we\nprepared ground truth binary images for each hyperspectral data, where salient\nobjects are labelled on the images. Finally, we did performance evaluation\nusing Area Under Curve (AUC) metric on some existing hyperspectral saliency\ndetection models in literature.","url_abs":"http://arxiv.org/abs/1806.11314v2","url_pdf":"http://arxiv.org/pdf/1806.11314v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"hyperspectral-image-dataset-for-benchmarking","repo_url":"https://github.com/gistairc/HS-SOD","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"hyperspectral-image-dataset-for-benchmarking","repo_url":"https://github.com/gqding/SUDF","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"salient-object-detection","task_name":"RGB Salient Object Detection"},{"task_slug":"saliency-detection","task_name":"Saliency Detection"},{"task_slug":"salient-object-detection-1","task_name":"Salient Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[{"slug":"hs-sod","name":"HS-SOD","full_name":"HyperSpectral Salient Object Detection Dataset"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1806.11314","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1806.11314"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gqding/SUDF","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gistairc/HS-SOD","reach":{"status":"ok","spdx":"NOASSERTION"}}],"summary":{"unverified":5},"by_repo_kind":{"listed":{"samples":5,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"7e124815d7138f51","entry":"adjacent_matrix","repo":"gqding/SUDF","repo_kind":"listed","path":"myfunc.py","file_url":"https://github.com/gqding/SUDF/blob/HEAD/myfunc.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7e124815d7138f51"}},{"code_sha256_prefix":"734258160d98a057","entry":"featureNorm","repo":"gqding/SUDF","repo_kind":"listed","path":"main_SUDF.py","file_url":"https://github.com/gqding/SUDF/blob/HEAD/main_SUDF.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"734258160d98a057"}},{"code_sha256_prefix":"ead29e11d2f851ff","entry":"img_from_sp","repo":"gqding/SUDF","repo_kind":"listed","path":"myfunc.py","file_url":"https://github.com/gqding/SUDF/blob/HEAD/myfunc.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ead29e11d2f851ff"}},{"code_sha256_prefix":"bd07e3bc6fb4474a","entry":"lbmap_from_sp","repo":"gqding/SUDF","repo_kind":"listed","path":"myfunc.py","file_url":"https://github.com/gqding/SUDF/blob/HEAD/myfunc.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"bd07e3bc6fb4474a"}},{"code_sha256_prefix":"ae7849e97eb026d2","entry":"rotateImage","repo":"gqding/SUDF","repo_kind":"listed","path":"main_SUDF.py","file_url":"https://github.com/gqding/SUDF/blob/HEAD/main_SUDF.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ae7849e97eb026d2"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}