BH-POOLS & BH-WATERTANKS Two separate datasets were assembled: BH-Pools and BH-WaterTanks, with annotated swimming pools and water tanks respectively. Both datasets consist of imagery from… Read More »BH-Pools/Watertanks Datasets
AiRound AiRound is composed of 11,753 images distributed among 11 classes, including: airport, bridge, church, forest, lake, river, skyscraper, stadium, statue, tower, and urban park.… Read More »Multi-View Datasets
BrazilDAM Dataset BrazilDAM is a multi sensor and multitemporal dataset that consists of multispectral images of ore tailings dams throughout Brazil. Landsat 8 and Sentinel… Read More »BrazilDam 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,… Read More »Bridge 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.… Read More »Fashion 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.
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.
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.