Abstract The detection of anomalous structures in natural image data is utmost importance for numerous tasks the field computer vision. development methods unsupervised anomaly requires on which to train and evaluate new approaches ideas. We introduce MVTec dataset containing 5354 high-resolution color images different object texture categories. It contains normal, i.e., defect-free intended tr...

Social navigation is the capability of an autonomous agent, such as a robot, to navigate in “socially compliant” manner presence other intelligent agents humans. With emergence autonomously navigating mobile robots human-populated environments (e.g., domestic service homes and restaurants food delivery on public sidewalks), incorporating socially compliant behaviors these becomes critical ensur...

Existing image classification datasets used in computer vision tend to have an even number of images for each object category. In contrast, the natural world is heavily imbalanced, as some species are more abundant and easier to photograph than others. To encourage further progress in challenging real world conditions we present the iNaturalist Challenge 2017 dataset an image classification ben...

This document describes our work on the task 1 of KDD cup 2001. Different feature selection approaches, different inductive algorithms are employed to analyze the dataset. The results are evaluated and integrated by means of ROC analysis. 1. Background Three tasks in KDD cup 2001 are involved. All of them focus on data from genomics and drug design. The first task is a classification task for a...

This paper presents a large scale dataset of vision (stereo and RGB-D), laser and proprioceptive data collected over an extended duration by a Willow Garage PR2 robot in the 10 story MIT Stata Center. As of September 2012 the dataset comprises over 2.3TB, 38 hours and 42 kilometers (the length of a marathon). The dataset is of particular interest to robotics and computer vision researchers inte...

This paper describes a dataset of licenses expressed as RDF. The most important rights and conditions present in licenses for software, data and general works are expressed with the Open Digital Rights Language (ODRL) 2.0 vocabulary and extensions thereof. The dataset contains licenses identified by a dereferenceable URI, which are served with content negotiation providing a double representati...

Diffusion tensor magnetic resonance imaging (DTMRI), also known as diffusion tensor imaging (DTI), needs post processing by adequate image analysis and visualization tools. White matter tractography using DTI is becoming a routine MR technique to study white matter properties, connectivity, and alterations of fiber integrity due to pathology. The success of the method depends on the accuracy of...