deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques

This paper presents datasets utilised for synthetic near-infrared (NIR) image generation and bounding-box level fruit detection systems. A high-quality dataset is one of the essential building blocks that can lead to success in model generalisation and the deployment of data-driven deep neural netwo...

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Detalles Bibliográficos
Autores principales: Sa, Inkyu, Lim, Jong Yoon, Ahn, Ho Seok, MacDonald, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269522/
https://www.ncbi.nlm.nih.gov/pubmed/35808218
http://dx.doi.org/10.3390/s22134721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269522/
https://www.ncbi.nlm.nih.gov/pubmed/35808218
http://dx.doi.org/10.3390/s22134721

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