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dc.contributor.authorAhuja, Nishtha-
dc.contributor.authorShah, Rajiv Ratn (Advisor)-
dc.contributor.authorShukla, Jainendra (Advisor)-
dc.date.accessioned2022-04-02T05:30:32Z-
dc.date.available2022-04-02T05:30:32Z-
dc.date.issued2021-05-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1012-
dc.description.abstractThis research aims to detect the exposure of the human genitals, breast, male chest and butt inane image. Automatic Nudity Detection is crucial in order to control the inappropriate content present. However, instances of users uploading Not Suitable for Work (NSFW) content on the internet have become common these days. Detections of such type are important to regulate the access to porn images and protect the privacy of especially those people whose images circulate the internet without their consent. The dataset used for this purpose has been collected using web scraping techniques. The strategy we have planned to detect nudity is by identifying nude zones in an image for that we are manually annotating the dataset.en_US
dc.language.isoen_USen_US
dc.publisherIIIT- Delhien_US
dc.subjectNSFWen_US
dc.subjectImage zoningen_US
dc.subjectWeb scrapingen_US
dc.subjectMachine learning.en_US
dc.titleNudity detectionen_US
dc.typeOtheren_US
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