The objective of SHREC'14 Track is to evaluate the performances of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a generic 3D model dataset.

Objective:
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale comprehensive 3D shape database which contains different types of models, such as generic, articulated, CAD and architecture models.

This database is the product of a multi-year, comprehensive evaluation and expansion of the world's most widely used mass spectral reference library.

This resource consists of methods for matrix-assisted laser desorption ionization (MALDI) mass spectrometry on a wide variety of synthetic polymers. The methods are taken from the peer-review scientific literature. The database covers the period from 1988, the year of Tanaka's first paper on the subject, through 2011. Each recipe comes with a literature citation and associated digital object identifier (DOI) when available. The database currently contains entries for over 1250 polymer/matrix combinations.

Objective: The objective of this track is to evaluate the performance of 3D shape retrieval approaches on Generic 3D Dataset.

Introduction: With the increasing number of 3D models are created every day 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 the results of different 3D shape retrieval approaches.

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.

Almanac API - Ranking by Geography ID within the Nation

This API is designed to find the rankings by any geography type within the nation with a specific census metric (population or household) and ranking metric (any of the metrics from provider, demographic, technology or speed). Support for full list of rankings by nation is not allowed for geography types (e.g., county, census place, usf) so only the top ten and bottom ten rankings would be returned through the API.

The Broadband Provider API searches for all providers with a specified name.

This API returns broadband summary data by geography IDs for a specific geography type. It is designed to retrieve broadband summary data by geography and census metrics (population or households) combined as search criteria. The data includes wireline and wireless providers, different technologies and broadband speeds reported in the particular area being searched for on a scale of 0 to 1.