Digital Repository

Snake-Tail - Snake Identification Mobile App Using Image Classification

Show simple item record

dc.contributor.author Herath, Imesh
dc.date.accessioned 2025-06-09T04:07:04Z
dc.date.available 2025-06-09T04:07:04Z
dc.date.issued 2024
dc.identifier.citation Herath, Imesh (2024) Snake-Tail - Snake Identification Mobile App Using Image Classification. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019703
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2475
dc.description.abstract "Precise identification of snakes is essential in many fields, including the treatment of snake bites. Conventional approaches frequently call for intrusive procedures or rely on specialized knowledge. In order to diagnose and treat snakebite injuries, automated snake identification is a critical step that this study investigates the potential of convolutional neural networks, or CNNs. CNNs are highly accurate in predicting the species when they assess visual input, such as pictures of snakes." en_US
dc.language.iso en en_US
dc.subject CNN en_US
dc.subject LDA en_US
dc.title Snake-Tail - Snake Identification Mobile App Using Image Classification en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account