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    • SHREC'09 Track: Generic Shape Retrieval

    Metadata Updated: July 29, 2022

    The objectives of this shape retrieval contest are to evaluate the performance of 3D shape retrieval approaches on a new generic 3D shape benchmark.

    Task description: In response to a given set of queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query.

    Data set: In this new generic benchmark there are 800 3D models. The target database contains 720 complete 3D models, which are categorized into 40 classes. In each class there are 18 models. The file format to represent the 3D models is the ASCII Object File Format (*.off).

    Evaluation Methodology: We will employ the following evaluation measures: Precision-Recall curve; Average Precision (AP) and Mean Average Precision (MAP); E-Measure; Discounted Cumulative Gain; Nearest Neighbor, First-Tier (Tier1) and Second-Tier (Tier2).

    Paper: Godil, A., Dutagaci, H., Akgül, C.B., Axenopoulos, A., Bustos, B., Chaouch, M., Daras, P., Furuya, T., Kreft, S., Lian, Z. and Napoleon, T., 2009, March. SHREC'09 Track: Generic shape retrieval. In 3DOR (pp. 61-68). http://dx.doi.org/10.2312/3DOR/3DOR09/061-068

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    http://dx.doi.org/10.2312/3DOR/3DOR09/069-076

    Dates

    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-2211
    Data First Published 2020-04-22
    Language en
    Data Last Modified 2009-02-02 00:00:00
    Category Information Technology:Data and informatics, Mathematics and Statistics:Image and signal processing
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id dc19c5d2-bffb-47e6-be36-e7871040687c
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-2211
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents http://dx.doi.org/10.2312/3DOR/3DOR09/069-076
    Source Datajson Identifier True
    Source Hash cd828523c6ce9cf3745c289ae307ddecf2e77614
    Source Schema Version 1.1

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