Datasets

Bridge Dataset

Bridge Dataset This dataset is composed of 500 images each containing at least one bridge. This dataset has samples collected from different regions around the world, which increases its diversity and representativeness due to the varying Read more…

By Caio Da Silva, ago
Datasets

Fashion Dataset

Fashion Dataset This dataset is a composition of fashion images and associated tags and comments crawled from two fashion-related social networks, namely pose.com and chictopia.com. The first part of this dataset (related to the pose.com Read more…

By edemir, ago
Datasets

Brazilian Cerrado-Savanna Scenes Dataset

The dataset is composed of 1,311 multi-spectral scenes extracted from images acquired by the RapidEye satellite sensors over the Serra do Cipó region, a mountainous and highly biodiverse and heterogenous landscape in southern-central Brazil mainly constituted of Cerrado-Savanna Vegetation. From the 5 bands (blue, green, red, red edge and near infrared) that the images acquired by the RapidEye satellite sensors have, we have selected three (near-infrared, green, and red bands), which are the most useful and representative ones for discriminating vegetation areas. It is a very challenging dataset given its high intraclass variance, caused by different spatial configurations and densities of the same vegetation type, as well as its high interclass similarity, given similar appearance of different types of vegetation species.

By Caio Da Silva, ago
Datasets

Brazilian Coffee Scenes Dataset

This dataset is a composition of scenes taken by SPOT sensor in 2005 over four counties in the State of Minas Gerais, Brazil: Arceburgo, Guaranesia, Guaxupé and Monte Santo. It has many intraclass variance caused by different crop management techniques. Also, coffee is an evergreen culture and the South of Minas Gerais is a mountainous region, which means that this dataset includes scenes with different plant ages and/or with spectral distortions caused by shadows.

By Caio Da Silva, ago
Downloads

Natural disaster monitoring

Natural disaster monitoring is a fundamental task to create prevention strategies, as well as to help authorities to act in the control of damages, coordinate rescues, and help victims. Among all natural disasters, flooding is possibly the most extensive and devastating one being considered as the world's most costly type of natural hazard in terms of both economic losses and human causalities

By Caio Da Silva, ago
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