- Spaces
Spaces
Use Spaces to collaboratively work with your team to manage and annotate data.
STARC metadata schema and STARC repository
The metadata schema developed by the Science and Technology for Archaeology Research Center (STARC) has the goal to enable data interoperability and access to the digital resources stored in the local repository. Its structure allows retrieving models, activities, decision and answers the research question on how data can be used for data interpretation and re-used to perform further analysis and post-processing of raw data. The datasets stored in STARC repository refer to 2D and 3D cultural heritage data including archaeological sites, museum objects and architectonic elements. The schema is mostly based on LIDO and CARARE ones and is CIDOC-CRM compliant. The novelty of this metadata schema is the subset of metadata that has been designed to allow recording the information about the provenance of the digital objects, a particularly important aspect when the objects are 3D digital replicas of cultural objects.
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DataCrowds
Datasets of crowds from various sources; these contain both videos and the tracked positions of individuals over time.
The puprose of this project is to help various communities that need crowd data; crowd simulation, analysis, computer vision, urban development, social sciences.
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CSAD
The Centre for the Study of Ancient Documents was established in 1995 under the auspices of Oxford University's Faculty of Literae Humaniores to provide a focus for the study of ancient documents within Oxford. Over the last six years it has developed into a research centre of national and international importance. The Centre forms part of the Classics Centre, currently located in the Old Boys' School in George Street.
The Centre provides a home for Oxford University's epigraphical archive, which includes one of the largest collections of squeezes (paper impressions) of Greek inscriptions in the world, together with the Haverfield archive of Roman inscriptions from Britain, and a substantial photographic collection. The strengths of the epigraphical archive lie in its broad coverage of early Greek inscriptions, Attic epigraphy and the Hellenistic world. Individual sites well represented in the archive include Chios, Samos, Priene, Rhodes, and Samothrace. The material in the archive is currently being reorganised and catalogued.
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National Natural History collection
A collection, dated back to the beginning of the 20th century representing the flora of the Southern Levant, a culture heritage.
It is very important To catalog the collection and photo the specimens in 3D. The morphological and molecular studies of the specimens will use state of the art technologies. Their innovation is to associate species with their parasite and compare it to modern days in order to determine the changes over time.
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AutoGR - Automatic Image Georeferencing
Automatic image georeferencing script.
When uploading images for processing, please consider the following:
- if orthophoto are not provided in WGS84 coordiante projection, no kml file with the footprint will be generated;
- orthophoto should be provided with relative world file (i.e. tfw file for tif images) ;
- images should be below the max pixel size in X and Y (depending on the capabilities of clowder), considering that the larger the image, the more time it till take for the output (and for upload of course);
- image matching and thus georeferencing is not guaranteed and it is based on well known computer vision algorithms with moderate scale and orientation invariant tolerance with minor improvements;
- file name should be provided with latin characters to avoid decoding problems;
- for small dataset it is suggested to test the offline version of AutoGR-Toolkit (http://ims.forth.gr/AutoGR).
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Realtime Interactive Environments for Education and Learning
RIVEEL3D : R3D Mobile
A mobile viewing platform for viewing artifacts and media in appropriate locations using GPS coordinates.
The project "RIVEEL3D: Real-time Immersive 3D Virtual Environment for Education and Learning" utilizes virtual environments to study and analyze historical sites. The specific case-study project contributes to the on-going study of the Green Line of Nicosia in Cyprus that still divides the city, and proposes the analysis of the use of public spaces in contested urban environments. The current stage of development involves a stand-alone data navigation application prototype that can be used by researchers at CyI to explore digital reconstructions of virtual territories and other datasets, and to help users understand the cultural heritage analytical and education goals laid out by the CyI. ''RIVEEL3D: Real-time Immersive 3D Virtual Environment for Education and Learning" occupies with the simulation of the chronological phases of the structure of the Paphos Gate and the study of the impact these transformations of the Gate had on the organization of the public space of Nicosia. This digital reconstruction, while being addressed to a lay audience, requires the involvement of a wide platform of professionals (archaeologists, architects, historians, computer engineers, visualization specialists, etc.) for its production, and it is in their collaboration that innovation lies. This is exactly where the use of the Virtual Environment for sharing, communication and collaboration, will be of crucial significance for the analysis of social behaviour, the role of monuments of cultural heritage in the city, data collection of circulation and usage of public space. The overarching goal of this work-in-progress is the development of a virtual laboratory of urban exploration that will test how the interaction with, and use of, cultural heritage monuments can affect the perception, appropriation and manipulation of social and cultural identity. In the long term, this research project will contribute, through the analysis of the data collected, insights and tacit knowledge regarding possible planning strategies and the impact of potential interventions in the future urban-scape of historic city centers.
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PETRA DataSets
Scientific community and category of research: Cultural Heritage
Fourier Transform Infrared Analysis and X-Ray Fluorescence Analysis of two sets of samples: 1. Wall paintings 2. Marble Sculpture
Scientific Contact: Maram Na'es, Technical University Berlin, Department of Optics and Atomic Physics/ and Synchrotron-light for Experimental Science and Applications in the Middle East (SESAME)
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CNN Features for Remote Sensing Image Classification
Tools and resources for remote sensing image classification using convolutional neural networks (convnets).
Collection SAT CNN Models contains code and pretrained convnet models for classification of satellite images. The convnets are trained on publicly available SAT-4 and SAT-6 datasets of satellite images (http://csc.lsu.edu/~saikat/deepsat/). The collection contains the following datasets:
SAT-4 Models - CNN models trained on SAT-4 dataset
SAT-6 Models - CNN models trained on SAT-6 dataset
Tools & Results - code for convnet training and image classification, conference paper and presentation.
Collection HRRS Image Classification contains code and pretrained convnet models for classification of high resolution remote sensing (HRRS) images. The convnets are trained/fine-tuned on publicly available AID dataset of HRRS images (http://captain.whu.edu.cn/project/AID/). The collection contains the following datasets:
Trained convnet models - models trained from scratch on AID dataset
Fine-tuned convnet models - models pretrained on ImageNet and fine-tuned on AID dataset
Tools & Results - code of an experimental framework for training and testing different convnet topologies for HRRS image classification, conference paper and presentation.
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The Historical Arabic Documents Dataset for Recognition Systems
Annotation on sub-word level of five books written by different writers from the years 1088-1451.
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The puprose of this project is to help various communities that need crowd data; crowd simulation, analysis, computer vision, urban development, social sciences.
The Centre provides a home for Oxford University's epigraphical archive, which includes one of the largest collections of squeezes (paper impressions) of Greek inscriptions in the world, together with the Haverfield archive of Roman inscriptions from Britain, and a substantial photographic collection. The strengths of the epigraphical archive lie in its broad coverage of early Greek inscriptions, Attic epigraphy and the Hellenistic world. Individual sites well represented in the archive include Chios, Samos, Priene, Rhodes, and Samothrace. The material in the archive is currently being reorganised and catalogued.
It is very important To catalog the collection and photo the specimens in 3D. The morphological and molecular studies of the specimens will use state of the art technologies. Their innovation is to associate species with their parasite and compare it to modern days in order to determine the changes over time.
When uploading images for processing, please consider the following:
- if orthophoto are not provided in WGS84 coordiante projection, no kml file with the footprint will be generated;
- orthophoto should be provided with relative world file (i.e. tfw file for tif images) ;
- images should be below the max pixel size in X and Y (depending on the capabilities of clowder), considering that the larger the image, the more time it till take for the output (and for upload of course);
- image matching and thus georeferencing is not guaranteed and it is based on well known computer vision algorithms with moderate scale and orientation invariant tolerance with minor improvements;
- file name should be provided with latin characters to avoid decoding problems;
- for small dataset it is suggested to test the offline version of AutoGR-Toolkit (http://ims.forth.gr/AutoGR).
A mobile viewing platform for viewing artifacts and media in appropriate locations using GPS coordinates.
The project "RIVEEL3D: Real-time Immersive 3D Virtual Environment for Education and Learning" utilizes virtual environments to study and analyze historical sites. The specific case-study project contributes to the on-going study of the Green Line of Nicosia in Cyprus that still divides the city, and proposes the analysis of the use of public spaces in contested urban environments. The current stage of development involves a stand-alone data navigation application prototype that can be used by researchers at CyI to explore digital reconstructions of virtual territories and other datasets, and to help users understand the cultural heritage analytical and education goals laid out by the CyI. ''RIVEEL3D: Real-time Immersive 3D Virtual Environment for Education and Learning" occupies with the simulation of the chronological phases of the structure of the Paphos Gate and the study of the impact these transformations of the Gate had on the organization of the public space of Nicosia. This digital reconstruction, while being addressed to a lay audience, requires the involvement of a wide platform of professionals (archaeologists, architects, historians, computer engineers, visualization specialists, etc.) for its production, and it is in their collaboration that innovation lies. This is exactly where the use of the Virtual Environment for sharing, communication and collaboration, will be of crucial significance for the analysis of social behaviour, the role of monuments of cultural heritage in the city, data collection of circulation and usage of public space. The overarching goal of this work-in-progress is the development of a virtual laboratory of urban exploration that will test how the interaction with, and use of, cultural heritage monuments can affect the perception, appropriation and manipulation of social and cultural identity. In the long term, this research project will contribute, through the analysis of the data collected, insights and tacit knowledge regarding possible planning strategies and the impact of potential interventions in the future urban-scape of historic city centers.
Fourier Transform Infrared Analysis and X-Ray Fluorescence Analysis of two sets of samples: 1. Wall paintings 2. Marble Sculpture
Scientific Contact: Maram Na'es, Technical University Berlin, Department of Optics and Atomic Physics/ and Synchrotron-light for Experimental Science and Applications in the Middle East (SESAME)
Collection SAT CNN Models contains code and pretrained convnet models for classification of satellite images. The convnets are trained on publicly available SAT-4 and SAT-6 datasets of satellite images (http://csc.lsu.edu/~saikat/deepsat/). The collection contains the following datasets:
SAT-4 Models - CNN models trained on SAT-4 dataset
SAT-6 Models - CNN models trained on SAT-6 dataset
Tools & Results - code for convnet training and image classification, conference paper and presentation.
Collection HRRS Image Classification contains code and pretrained convnet models for classification of high resolution remote sensing (HRRS) images. The convnets are trained/fine-tuned on publicly available AID dataset of HRRS images (http://captain.whu.edu.cn/project/AID/). The collection contains the following datasets:
Trained convnet models - models trained from scratch on AID dataset
Fine-tuned convnet models - models pretrained on ImageNet and fine-tuned on AID dataset
Tools & Results - code of an experimental framework for training and testing different convnet topologies for HRRS image classification, conference paper and presentation.