{
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "accrualPeriodicity": "irregular",
  "bureauCode": [
    "006:55"
  ],
  "contactPoint": {
    "fn": "Afzal A. Godil",
    "hasEmail": "mailto:afzal.godil@nist.gov"
  },
  "description": "The objective of this SHREC'12 track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using both hand-drawn and standard line drawings sketch queries on a watertight 3D model dataset.\n\nSketch-based 3D model retrieval is to retrieve 3D models using a 2D sketch as input. This scheme is intuitive and convenient for users to search for relevant 3D models and also important for several applications including sketch-based modeling and sketch-based shape recognition. However, most existing 3D model retrieval algorithms target the Query-by-Model framework, that is, using existing 3D models as queries. Much less research work has been done regarding the Query-by-Sketch framework. In addition, until now there was no comprehensive evaluation or comparison for available sketch-based retrieval algorithms. Considering of this, we organized this track to foster this challenging research area by providing a common sketch-based retrieval benchmark and soliciting retrieval results from current state-of-the-art retrieval methods for comparison. We also provide corresponding evaluation code for computing a set of performance metrics similar to those used in the Query-by-Model retrieval technique.\n\nDataset: 3D target Models is 400, 2D query set comprises two subsets: (1) Hand-drawn sketches, and (2) Standard line drawings\n\nPlease cite the paper:\n[1] B. Li, T. Schreck, A. Godil, M. Alexa, T. Boubekeur, B. Bustos, J. Chen, M. Eitz, T. Furuya, K. Hildebrand, S. Huang, H. Johan, A. Kuijper, R. Ohbuchi, R. Richter, J. M. Saavedra, M. Scherer, T. Yanagimachi, G. J. Yoon, S. M. Yoon, In: M. Spagnuolo, M. Bronstein, A. Bronstein, and A. Ferreira (eds.), SHREC'12 Track: Sketch-Based 3D Shape Retrieval, Eurographics Workshop on 3D Object Retrieval 2012 (3DOR 2012), 2012.",
  "distribution": [
    {
      "accessURL": "https://doi.org/10.18434/M32222",
      "title": "DOI access to SHREC'12 Track: Sketch-Based 3D Shape Retrieval"
    },
    {
      "description": "3D models, Hand-drawn sketches, Standard line drawings, Classification file, etc.",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2222/SHREC2012_SBR.zip",
      "mediaType": "application/zip",
      "title": "SHREC'12 Track: Sketch-Based 3D Shape Retrieval"
    },
    {
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2222/SHREC2012_SBR.zip.sha256",
      "mediaType": "text/plain",
      "title": "SHA256 File for  SHREC'12 Track: Sketch-Based 3D Shape Retrieval"
    }
  ],
  "identifier": "ark:/88434/mds2-2222",
  "issued": "2020-04-14",
  "keyword": [
    "3D Shape Retrieval",
    "3D models",
    "Evaluation",
    "Hand-drawn Sketch data",
    "Standard line drawings"
  ],
  "landingPage": "https://data.nist.gov/od/id/mds2-2222",
  "language": [
    "en"
  ],
  "license": "https://www.nist.gov/open/license",
  "modified": "2012-01-30 00:00:00",
  "programCode": [
    "006:045"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "National Institute of Standards and Technology"
  },
  "references": [
    "https://doi.org/10.2312/3DOR/3DOR12/109-118"
  ],
  "theme": [
    "Information Technology:Data and informatics",
    "Mathematics and Statistics:Image and signal processing"
  ],
  "title": "SHREC'12 Track: Sketch-Based 3D Shape Retrieval"
}