research data . Dataset . 2017

Improving Open Source Face Detection By Combining An Adapted Cascade Classification Pipeline And Active Learning

Steven Puttemans; Toon Goedeme; Can Ergun;
Open Access English
  • Published: 28 Feb 2017
  • Publisher: Zenodo
Abstract
<p>The <em><strong>EAVISE Open Source Face Detection Dataset</strong></em> consists of several items that were used to generate the improved frontal face detection model using LBP features and AdaBoost for OpenCV3.2.</p> <ul> <li>The annotations of the FDDB dataset, converted to the OpenCV format for doing a correct evaluation.</li> <li>The final trained model (IterativeHardPositives+ model) which is included in the OpenCV 3.2 framework.</li> </ul>
Subjects
free text keywords: face detection, object detection, opencv, cascade classification, Biochemistry, Microbiology, Genetics, Molecular Biology, Plant Biology, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified
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Dataset . 2017
Provider: Datacite
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Dataset . 2017
Provider: Datacite
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Dataset . 2017
Provider: Zenodo
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Dataset . 2017
Provider: figshare
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