Cargando…
Deep Neural Networks for Automatic Flower Species Localization and Recognition
Deep neural networks are efficient methods of recognizing image patterns and have been largely implemented in computer vision applications. Object detection has many applications in computer vision, including face and vehicle detection, video surveillance, and plant leaf detection. An automatic flow...
Autores principales: | Abbas, Touqeer, Razzaq, Abdul, Zia, Muhammad Azam, Mumtaz, Imran, Saleem, Muhammad Asim, Akbar, Wasif, Khan, Muhammad Ahmad, Akhtar, Gulzar, Shivachi, Casper Shikali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076332/ https://www.ncbi.nlm.nih.gov/pubmed/35528372 http://dx.doi.org/10.1155/2022/9359353 |
Ejemplares similares
-
Enhancing African low-resource languages: Swahili data for language modelling
por: Shikali, Casper S., et al.
Publicado: (2020) -
Dataset of Pakistan Sign Language and Automatic Recognition of Hand Configuration of Urdu Alphabet through Machine Learning
por: Imran, Ali, et al.
Publicado: (2021) -
Anti-Obesity Attributes; UHPLC-QTOF-MS/MS-Based Metabolite Profiling and Molecular Docking Insights of Taraxacum officinale
por: Aabideen, Zain Ul, et al.
Publicado: (2020) -
Patient Perspectives and Side-Effects Experience on Chemotherapy of Non-Small Cell Lung Cancer: A Qualitative Study
por: Zubair, Hafiz Muhammad, et al.
Publicado: (2023) -
Cassia fistula Leaves; UHPLC-QTOF-MS/MS Based Metabolite Profiling and Molecular Docking Insights to Explore Bioactives Role towards Inhibition of Pancreatic Lipase
por: Aabideen, Zain Ul, et al.
Publicado: (2021)