Overview of the ImageCLEF 2007 Object Retrieval Task

We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmark dataset from which images of objects of the ten different classes bicycles, buses, cars, motorbikes, cats, cows, dogs, horses, sheep, and persons had to be retrieved. Seven international groups participated using a wide variety of methods. The results of the evaluation show that the task was very challenging and that different methods for relevance assessment can have a strong influence on the results of an evaluation

VizieR Online Data Catalog: Stellar kinematics in CALIFA survey (Falcon-Barroso+, 2017)

This study is based on observations of 300 galaxies drawn from the CALIFA mother and extended samples1, which are part of the photometric catalog of the seventh data release (Abazajian et al., 2009ApJS..182..543A) of the Sloan Digital Sky Survey (SDSS). (1 data file)

VizieR Online Data Catalog: Stellar kinematics in CALIFA survey (Falcon-Barroso+, 2017)

This study is based on observations of 300 galaxies drawn from the CALIFA mother and extended samples1, which are part of the photometric catalog of the seventh data release (Abazajian et al., 2009ApJS..182..543A) of the Sloan Digital Sky Survey (SDSS). (1 data file)