{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:HENXKMCJNULD7Z5FK2LVVPVC73","short_pith_number":"pith:HENXKMCJ","schema_version":"1.0","canonical_sha256":"391b7530496d163fe7a556975abea2fef50b0350a37d5e9bbfbfef23d0ec78f2","source":{"kind":"arxiv","id":"1906.11942","version":1},"attestation_state":"computed","paper":{"title":"Datasets for Face and Object Detection in Fisheye Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ivan V. Bajic, Jianglin Fu, Rodney G. Vaughan","submitted_at":"2019-06-27T20:21:45Z","abstract_excerpt":"We present two new fisheye image datasets for training face and object detection models: VOC-360 and Wider-360. The fisheye images are created by post-processing regular images collected from two well-known datasets, VOC2012 and Wider Face, using a model for mapping regular to fisheye images implemented in Matlab. VOC-360 contains 39,575 fisheye images for object detection, segmentation, and classification. Wider-360 contains 63,897 fisheye images for face detection. These datasets will be useful for developing face and object detectors as well as segmentation modules for fisheye images while "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1906.11942","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-27T20:21:45Z","cross_cats_sorted":[],"title_canon_sha256":"71b7fbd234de0b4a7bc3fe64ab16c9e373db991346bedfc5bbbb967e1335dc57","abstract_canon_sha256":"76c2323fc7b01430aaeed2fe27bce81c79f257cc649f04ba28bf282d79e9f7b6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:01.524764Z","signature_b64":"hs27Czdoe/4PsxcK+vh+Z7mc+swaT1gI/b05fZpaZH0zT9+FgNtfpxQL3rdPfDhS7l51X0Pp40YDas6QkBvMBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"391b7530496d163fe7a556975abea2fef50b0350a37d5e9bbfbfef23d0ec78f2","last_reissued_at":"2026-05-17T23:42:01.524118Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:01.524118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Datasets for Face and Object Detection in Fisheye Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ivan V. Bajic, Jianglin Fu, Rodney G. Vaughan","submitted_at":"2019-06-27T20:21:45Z","abstract_excerpt":"We present two new fisheye image datasets for training face and object detection models: VOC-360 and Wider-360. The fisheye images are created by post-processing regular images collected from two well-known datasets, VOC2012 and Wider Face, using a model for mapping regular to fisheye images implemented in Matlab. VOC-360 contains 39,575 fisheye images for object detection, segmentation, and classification. Wider-360 contains 63,897 fisheye images for face detection. These datasets will be useful for developing face and object detectors as well as segmentation modules for fisheye images while "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11942","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.11942","created_at":"2026-05-17T23:42:01.524219+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.11942v1","created_at":"2026-05-17T23:42:01.524219+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11942","created_at":"2026-05-17T23:42:01.524219+00:00"},{"alias_kind":"pith_short_12","alias_value":"HENXKMCJNULD","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"HENXKMCJNULD7Z5F","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"HENXKMCJ","created_at":"2026-05-18T12:33:18.533446+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73","json":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73.json","graph_json":"https://pith.science/api/pith-number/HENXKMCJNULD7Z5FK2LVVPVC73/graph.json","events_json":"https://pith.science/api/pith-number/HENXKMCJNULD7Z5FK2LVVPVC73/events.json","paper":"https://pith.science/paper/HENXKMCJ"},"agent_actions":{"view_html":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73","download_json":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73.json","view_paper":"https://pith.science/paper/HENXKMCJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.11942&json=true","fetch_graph":"https://pith.science/api/pith-number/HENXKMCJNULD7Z5FK2LVVPVC73/graph.json","fetch_events":"https://pith.science/api/pith-number/HENXKMCJNULD7Z5FK2LVVPVC73/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73/action/storage_attestation","attest_author":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73/action/author_attestation","sign_citation":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73/action/citation_signature","submit_replication":"https://pith.science/pith/HENXKMCJNULD7Z5FK2LVVPVC73/action/replication_record"}},"created_at":"2026-05-17T23:42:01.524219+00:00","updated_at":"2026-05-17T23:42:01.524219+00:00"}