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SHREC'10 Track: Generic 3D Warehouse

Metadata Updated: September 30, 2025

The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a Generic 3D shape benchmark based on the Google 3D Warehouse.

Introduction: With the increasing number of 3D models are created everyday and stored in databases. Effectively searching a 3D repository for 3D shapes which are similar to a given 3D query model has become an important area of research. Benchmarking allows researchers to evaluate the quality of results of different 3D shape retrieval approaches. Here, we propose a new publicly available 3D shape benchmark based on the Google 3D Warehouse to advance the state of art in 3D shape retrieval

Task description: The task is to evaluate the dissimilarity between every two objects in the database mentioned above and then output the dissimilarity matrix.

Data set: All the 3D models in the generic shape benchmark were acquired by a web crawler from the Google 3D Warehouse. To classify the 3D shape models into a ground truth database, one person based on the Google tags has classified objects into ground truth categories based mainly on visual similarity. In this benchmark, there will be over three thousand 3D models. The file format used to represent the 3D models will be 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).

Please Cite the Paper: SHREC'10 Track: Generic 3D Warehouse., T.P. Vanamali, A. Godil, H. Dutagaci,T. Furuya, Z. Lian, R. Ohbuchi, In: M. Daoudi, T. Schreck, M. Spagnuolo, I. Pratikakis, R. Veltkamp (eds.), Proceedings of the Eurographics/ACM SIGGRAPH Symposium on 3D Object Retrieval, 2010.

Access & Use Information

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

Downloads & Resources

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date September 30, 2025

Metadata Source

Harvested from Commerce Non Spatial Data.json Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date September 30, 2025
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2213
Data First Published 2020-04-21
Language en
Data Last Modified 2010-02-02 00:00:00
Category Information Technology:Data and informatics, Mathematics and Statistics:Image and signal processing
Public Access Level public
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
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 a0767804-794c-45fc-a5d3-e62ef76d0102
Harvest Source Id bce99b55-29c1-47be-b214-b8e71e9180b1
Harvest Source Title Commerce Non Spatial Data.json Harvest Source
Homepage URL https://data.nist.gov/od/id/mds2-2213
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 22f4555355661fe3956e62991a1e4f965af72071d1a42f1f7993c947ff288a6c
Source Schema Version 1.1

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