Dataset Open Access

Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD

Thiago Santos; de Souza, Leonardo; dos Santos Andreza; Avila, Sandra


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3361736", 
  "language": "eng", 
  "title": "Embrapa Wine Grape Instance Segmentation Dataset \u2013 Embrapa WGISD", 
  "issued": {
    "date-parts": [
      [
        2019, 
        7, 
        26
      ]
    ]
  }, 
  "abstract": "<p><strong>Embrapa Wine Grape Instance Segmentation Dataset &ndash; Embrapa WGISD</strong></p>\n\n<p>For a detailed description of this dataset, following the <em>datasheet for the datasets</em> recommendation proposed by <a href=\"https://arxiv.org/abs/1803.09010\">Gebru et al.</a>, check the <strong>README.md</strong> file.</p>\n\n<p><strong>Motivation for Dataset Creation</strong></p>\n\n<p><em>Why was the dataset created?</em></p>\n\n<p>Embrapa WGISD (<em>Wine Grape Instance Segmentation Dataset</em>) was created to provide images and annotation to study <em>object detection and instance segmentation</em> for image-based monitoring and field robotics in viticulture. It provides instances from five different grape varieties taken on field. These instances shows variance in grape pose,<br>\nillumination and focus, including genetic and phenological variations such as shape, color and compactness.</p>\n\n<p><em>What (other) tasks could the dataset be used for?</em></p>\n\n<p>Possible uses include relaxations of the instance segmentation problem: classification (Is a grape in the image?), semantic segmentation (What are the &quot;grape pixels&quot; in the image?), and object detection (Where are the grapes in the image?). The WGISD can also be used in grape variety identification.</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "Thiago Santos"
    }, 
    {
      "family": "de Souza, Leonardo"
    }, 
    {
      "family": "dos Santos Andreza"
    }, 
    {
      "family": "Avila, Sandra"
    }
  ], 
  "note": "The building of the WGISD dataset was supported by the Embrapa SEG Project 01.14.09.001.05.04, Image-based metrology for Precision Agriculture and Phenotyping, and the CNPq PIBIC Program (grants 161165/2017-6 and 125044/2018-6).", 
  "version": "1.0.0", 
  "type": "dataset", 
  "id": "3361736"
}
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