Continuing the ASF-project The Sinaitic Sacramentary (Euchologium) Fragments, this project continues the interdisciplinary collaboration of the Institute of Slavic Studies (ISS), University of Vienna (humanities), the Computer Vision Lab, Vienna University of Technology (computer scientists) and the Institute of Science and Technology in Art (ISTA), Academy of Fine Arts Vienna (chemists).It is devoted to the … Continue reading The Enigma of the Sinaitic Glagolitic Tradition →
Description The database consists of falls and activities of daily living performed by two persons (person1 and person2) – each person performed all activities twice. Hence, the database consists of 72 video sequences, containing 40 falls and 32 activities of daily living. The different scenarios are adopted from Noury et al. [1] and are described … Continue reading Fall Database →
Automated MRD-Assessment in Acute Myeloid Leukemia (AML) A major clinical focus of current international interest lies in the development of robust methodology to assess therapy response in AML, the most dangerous subtype of leukemia in children. FCM could be the most widely available and most broadly applicable methodology for this aim, but there exists no … Continue reading FlowCLUSTER →
The PCB DSLR dataset is meant to facilitate research on computer-vision-based Printed Circuit Board (PCB) analysis, with a focus on recycling-related applications. The dataset contains 748 images of PCBs from a recycling facility, captured under representative conditions using a professional DSLR camera. All images come with accurate PCB segmentation information as well as bounding box information … Continue reading PCB DSLR Dataset →
Indoor Skeleton Tracking Dataset Description This database contains skeleton tracking information obtained by the Asus Xtion pro live sensor in combination with OpenNI. It contains 3 different indoor environments: 90 days of tracking data from a living room, 74 days of tracking data within a kitchen as well as 20 days of tracking data within … Continue reading Indoor Skeleton Tracking Dataset →
An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting The CVL Database is a public database for writer retrieval, writer identification and word spotting. The database consists of 7 different handwritten texts (1 German and 6 Englisch Texts). In total 310 writers participated in the dataset. 27 of which wrote 7 texts and … Continue reading CVL-Database →
Introduction Handwriting recognition is an open research topic in the document analysis community. We provide two new, freely available real world datasets for an established problem. The competition consists of two independent tasks, namely segmented single Arabic digits and Arabic digit strings. Contributions will be accepted for either of the competitions. The dataset of segmented … Continue reading ICDAR2013 – Handwritten Digit and Digit String Recognition Competition →
Description The coin image dataset is a dataset of 60 classes of Roman Republican coins. Each class is represented by three coin images of the reverse side acquired at Coin Cabinet of the Museum of Fine Arts in Vienna, Austria. The dataset has been used for evaluation in [1]. Download and Use The dataset is … Continue reading Coin Image Dataset →
SIDIRE: Synthetic Image Dataset for Illumination Robustness Evaluation SIDIRE is a freely available image dataset which provides synthetically generated images allowing to investigate the influence of illumination changes on object appearance. The images are renderings of 3D coin models with different material BRDFs and levels of texturedness. Thus, the dataset makes it possible to directly … Continue reading SIDIRE →
The goal of this project is to analyze snippets of “manually” torn documents. A reconstruction of fragmented writing materials allows to retrieve and to analyze the lost content. This is done on objects of cultural and historic value, or for crime investigation as example. Reassembling algorithms use either the shape of the fragments, the content … Continue reading DIR – Document Information Retrieval →
