March 31, 2022 Dataset Open Access

Zinnen, Mathias; Madhu, Prathmesh; Kosti, Ronak; Bell, Peter; Maier, Andreas; Christlein, Vincent

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    "contributors": [
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        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "type": "DataCollector", 
        "name": "Tran, Hang"
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      {
        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "type": "DataCollector", 
        "name": "Hussian, Azhar"
      }, 
      {
        "affiliation": "University of Cambridge", 
        "type": "ProjectMember", 
        "name": "Marx, Lizzie"
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      {
        "affiliation": "KNAW Humanities Cluster Amsterdam", 
        "type": "ProjectMember", 
        "name": "Ehrich, Sofia"
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      {
        "orcid": "0000-0002-8975-8031", 
        "affiliation": "Anglia Ruskin University Cambridge", 
        "type": "ProjectMember", 
        "name": "Tullett, William"
      }, 
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        "orcid": "0000-0003-3681-1289", 
        "affiliation": "KNAW Humanities Cluster Amsterdam", 
        "type": "ProjectMember", 
        "name": "Bosse, Arno"
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        "orcid": "0000-0001-9195-8203", 
        "affiliation": "KNAW Humanities Cluster Amsterdam", 
        "type": "ProjectMember", 
        "name": "van Erp, Marieke"
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        "affiliation": "KNAW Humanities Cluster Amsterdam", 
        "type": "ProjectLeader", 
        "name": "Leemans, Inger"
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      {
        "type": "ProjectMember", 
        "name": "Odeuropa Team"
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    ], 
    "title": "Odeuropa Dataset of Smell-Related Objects", 
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        "code": "101004469", 
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        "title": "ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research", 
        "acronym": "ODEUROPA", 
        "program": "Horizon 2020 Framework Programme - Research and Innovation action", 
        "funder": {
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    "keywords": [
      "Object Detection", 
      "Smell", 
      "Olfaction", 
      "Artworks", 
      "Odor"
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    "publication_date": "2022-03-31", 
    "creators": [
      {
        "orcid": "0000-0003-4366-5216", 
        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "name": "Zinnen, Mathias"
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      {
        "orcid": "0000-0003-2707-415X", 
        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "name": "Madhu, Prathmesh"
      }, 
      {
        "orcid": "0000-0003-2453-7876", 
        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "name": "Kosti, Ronak"
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      {
        "orcid": "0000-0003-4415-7408", 
        "affiliation": "Philipps-Universit\u00e4t Marburg", 
        "name": "Bell, Peter"
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        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "name": "Maier, Andreas"
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      {
        "orcid": "0000-0003-0455-3799", 
        "affiliation": "Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "name": "Christlein, Vincent"
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    "description": "<p><strong>Odeuropa Dataset of Olfactory Objects</strong></p>\n\n<p>This dataset is released as part of the <a href=\"http://odeuropa.eu\">Odeuropa project</a>. The annotations are identical to the training set of the <a href=\"http://odor-challenge.odeuropa.eu\">ICPR2022-ODOR Challenge</a>.<br>\nIt contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br>\nThe smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br>\nThe dataset provides 15484 bounding boxes on 2116 artworks in 87 object categories.<br>\nAn additional csv file contains further image-level metadata such as artist, collection, or year of creation.</p>\n\n<p><strong>How to use</strong></p>\n\n<ul>\n\t<li>Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script.</li>\n\t<li>To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The overall size of the downloaded images is c. 200MB.</li>\n\t<li>The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available <a href=\"https://cocodataset.org/#format-data\">here</a>.</li>\n\t<li>The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively.</li>\n\t<li>Additional image-level metadata is available in the `metadata.csv` file.</li>\n</ul>"
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