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 |