The project Classificação de imagens e dados via redes neurais profundas para múltiplos domínios (Image and data classification via Deep neural networks for multiple domainS - IDeepS) is a continuation of a previous project and whose current objective is to propose recommendations/suggestions for the best deep neural network (DNN) models to be used for the remote sensing (which includes aerial images obtained by unmanned aerial vehicles (UAVs), airplanes, as well as images obtained by satellites), astrophysics, and health domains. Image classification will be the main computer vision task considered, but other tasks will be evaluated, also taking into account the greater diversity of distinct data.
The IDeepS project is supported by the Laboratório Nacional de Computação Científica (LNCC/MCTI, Brazil) via resources of the SDumont supercomputer. Researchers, professors and post-graduate students from the following organisations are involved in the project: Instituto Nacional de Pesquisas Espaciais (INPE), Instituto de Estudos Avançados (IEAv), Universidade Federal de São Paulo - Campus São José dos Campos (UNIFESP), Universidade Federal de São Carlos - Campus Sorocaba (UFSCar), and Universidade Estadual Paulista Júlio de Mesquita Filho - Campus Bauru (UNESP).
✅ M. S. Miranda, V. A. Santiago Júnior, T. S. Körting, E. C. S. Monteiro, and J. Q. Silva. AI4LUC: Deep learning and automated mask labelling to support land use and land cover mapping in the Cerrado biome. Remote Sensing Letters, v. 15, n. 8, p. 850 - 860, 2024. Access here.
| Member | Organisation |
|---|---|
| Adriano Pereira Almeida | INPE |
| Alan James Peixoto Calheiros | INPE |
| Álvaro Luiz Fazenda | UNIFESP |
| André Estevam Costa Oliveira | INPE |
| Bruno Nardi de Carvalho Dantas | ITA |
| Caio Eduardo Dias | INPE |
| Daniel Augusto de Sousa Mendes | INPE |
| Eduardo Bouhid Neto | UNIFESP |
| Elcio Hideiti Shiguemori | IEAv |
| Gabriel Lino Garcia | UNESP |
| Hércules Carlos Dos Santos Pereira | INPE |
| Hugo Resende | UNIFESP |
| João Paulo Papa | UNESP |
| Jurandy Gomes de Almeida Junior | UFSCar |
| Mateus de Souza Miranda | INPE |
| Matheus Corrêa Domingos | INPE |
| Nathan Augusto Zacarias Xavier | ITA |
| Rafael Marinho de Andrade | INPE |
| Reinaldo Roberto Rosa | INPE |
| Samuel Felipe dos Santos | UNIFESP |
| Thales Sehn Körting | INPE |
| Valdivino Alexandre de Santiago Júnior (Coordinator) | INPE |
Directives and suggestions on how one can perform the setup and run deep learning (DL) applications in the SDumont supercomputer are presented here.
Valdivino Alexandre de Santiago Júnior
This project is licensed under the GNU GENERAL PUBLIC LICENSE, Version 3 (GPLv3) - see the LICENSE.md file for details.
Please cite this repository if you use it as:
V. A. Santiago Júnior. Project IDeepS, 2024. Acessed on: date of access. Available at: https://github.com/vsantjr/IDeepS.