• 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 […]

  • Region-based Annotated Child Pornography Dataset

    This dataset is a private database that belongs to the Brazilian Federal Police. The paper “A Benchmark Methodology for Child Pornography Detection” describes the structure of the dataset. The aim of the dataset is to assess and compare the performance of child pornography detection methods. […]

  • Deep Semantic Segmentation of Mammographic Images

    Deep Semantic Segmentation of Mammographic Images MIAS and INbreast are mammographic datasets for the detection and diagnosis of breast cancer. With the dawn of digital mammograms, one important preprocessing step for […]

  • 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. […]

  • 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. […]

  • Contextual descriptors for superpixel-based segmentation

    Land-cover maps are one of the main sources of information for studies that support the creation of public policies in areas like urban planning and environmental monitoring. Their automatic creation […]

  • 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 […]

  • Multiscale classification of remote sensing images

    A huge effort has been applied in image classification to create high-quality thematic maps and to establish precise inventories about land cover use. The peculiarities of remote sensing images (RSIs) […]

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