Dergi makalesi Açık Erişim
Ozdemir, Bahadir; Aksoy, Selim; Eckert, Sandra; Pesaresi, Martino; Ehrlich, Daniele
{
"@context": "https://schema.org/",
"@id": 23707,
"@type": "ScholarlyArticle",
"creator": [
{
"@type": "Person",
"affiliation": "Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey",
"name": "Ozdemir, Bahadir"
},
{
"@type": "Person",
"affiliation": "Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey",
"name": "Aksoy, Selim"
},
{
"@type": "Person",
"affiliation": "European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy",
"name": "Eckert, Sandra"
},
{
"@type": "Person",
"affiliation": "European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy",
"name": "Pesaresi, Martino"
},
{
"@type": "Person",
"affiliation": "European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy",
"name": "Ehrlich, Daniele"
}
],
"datePublished": "2010-01-01",
"description": "We propose a new procedure for quantitative evaluation of object detection algorithms. The procedure consists of a matching stage for finding correspondences between reference and output objects, an accuracy score that is sensitive to object shapes as well as boundary and fragmentation errors, and a ranking step for final ordering of the algorithms using multiple performance indicators. The procedure is illustrated on a building detection task where the resulting rankings are consistent with the visual inspection of the detection maps. (C) 2009 Elsevier B.V. All rights reserved.",
"headline": "Performance measures for object detection evaluation",
"identifier": 23707,
"image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg",
"license": "http://www.opendefinition.org/licenses/cc-by",
"name": "Performance measures for object detection evaluation",
"url": "https://aperta.ulakbim.gov.tr/record/23707"
}
| Görüntülenme | 37 |
| İndirme | 5 |
| Veri hacmi | 860 Bytes |
| Tekil görüntülenme | 32 |
| Tekil indirme | 5 |