Dataset Open Access
Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input
Souza, Lucas;
Santos, Andre;
Azpurua, Hector;
Resende Filho, Levi;
Domingues, Jaco;
Matos, Saulo;
Nyarko, Samuel;
Melo Euzebio, Thiago Antonio;
Pessin, Gustavo
The data contains the analysis results of the research work.
Files
(907.5 kB)
| Name | Size | |
|---|---|---|
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Results -.zip
md5:0a3dd0aa320d4defe9dc18e4a0b5b6b0 |
907.5 kB | Download |
277
7
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downloads
| All versions | This version | |
|---|---|---|
| Views | 277 | 277 |
| Downloads | 7 | 7 |
| Data volume | 6.4 MB | 6.4 MB |
| Unique views | 224 | 224 |
| Unique downloads | 7 | 7 |
- Publication date:
- October 22, 2024
- DOI:
-
- Keyword(s):
- Object Detection Instance Segmentation Deep Learning Particle Size Measurement Crushing Circuit
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-39738 - Referenced by:
https://www.hzdr.de/publications/Publ-39536 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International
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Cite as
Souza, Lucas, Santos, Andre, Azpurua, Hector, Resende Filho, Levi, Domingues, Jaco, Matos, Saulo, … Pessin, Gustavo. (2024). Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input [Data set]. Rodare. http://doi.org/10.14278/rodare.3218
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