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


JSON-LD (schema.org) Export

{
  "@id": "https://doi.org/10.14278/rodare.3218", 
  "identifier": "https://doi.org/10.14278/rodare.3218", 
  "name": "Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input", 
  "description": "<p>The data contains the analysis results of the research work.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Vale", 
      "name": "Souza, Lucas", 
      "@type": "Person"
    }, 
    {
      "affiliation": "ITV", 
      "name": "Santos, Andre", 
      "@type": "Person"
    }, 
    {
      "name": "Azpurua, Hector", 
      "@type": "Person"
    }, 
    {
      "affiliation": "ITV", 
      "name": "Resende Filho, Levi", 
      "@type": "Person"
    }, 
    {
      "affiliation": "ITV", 
      "name": "Domingues, Jaco", 
      "@type": "Person"
    }, 
    {
      "affiliation": "ITV", 
      "name": "Matos, Saulo", 
      "@type": "Person"
    }, 
    {
      "name": "Nyarko, Samuel", 
      "@type": "Person"
    }, 
    {
      "name": "Melo Euzebio, Thiago Antonio", 
      "@type": "Person", 
      "@id": "https://orcid.org/0000-0003-2974-8621"
    }, 
    {
      "affiliation": "ITV", 
      "name": "Pessin, Gustavo", 
      "@type": "Person"
    }
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/9a929654-c08d-4602-9028-e84472e15fa9/Results -.zip", 
      "@type": "DataDownload", 
      "fileFormat": "zip"
    }
  ], 
  "datePublished": "2024-10-22", 
  "keywords": [
    "Object Detection", 
    "Instance Segmentation", 
    "Deep Learning", 
    "Particle Size Measurement", 
    "Crushing Circuit"
  ], 
  "@type": "Dataset", 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-39738"
  ], 
  "url": "https://rodare.hzdr.de/record/3218"
}
64
3
views
downloads
All versions This version
Views 6464
Downloads 33
Data volume 2.7 MB2.7 MB
Unique views 5252
Unique downloads 33

Share

Cite as