PawDetect: Breed Identifier For Dogs
| dc.contributor.author | Jasmine Tiong Wan Yun | |
| dc.date.accessioned | 2026-04-20T06:52:57Z | |
| dc.date.issued | 2025 | |
| dc.description | Professional breeders and veterinarians often face challenges determining a dog's breed based only on appearance. Breed information is becoming increasingly essential to pet owners, particularly for providing proper breed-specific care. However, lacking awareness and understanding of local dog breeds often leads to care and adoption challenges. Thus, this project developed a mobile application designed to help identify dog breeds, especially local ones, while providing users with essential breed-specific information. The application utilizes image recognition technology to identify breeds. Users can take a real-time photo or upload an existing photo from the gallery. It also provides users with general and specific breed information for better care for their furry. Users can create individual profiles for each dog to ease the management of multiple dogs. The accuracy of the breed identification feature were evaluated using n=50 dog images obtained from the internet and the author's personal images. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/375 | |
| dc.language.iso | English | |
| dc.publisher | Universiti Malaysia Sarawak (UNIMAS) | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.subject | Breed Identifier, dog | |
| dc.title | PawDetect: Breed Identifier For Dogs | |
| dc.type | Final Year Project |