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  1. On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks - Supporting Materials

    Title: On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks - Supporting Materials
    Contributors: Data collector: Guo, Tiancheng (Durham Univesity, UK)
    Data curator: Guo, Tiancheng (Durham Univesity, UK)
    Creator: Breckon, Toby (Durham University, UK)
    Data collector: Breckon, Toby (Durham University, UK)
    Data curator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Computer vision, Convolutional neural networks (CNN), Raindrop detection, Rain detection, Rain removal, Rain noise removal, Rain interference, Scene context, Raindrop saliency, Rain classification, Deep learning
    Date Uploaded:
  2. Pretrained Neural Network Models for Guo 2018 study - TensorFlow format [Download]

    Title: Pretrained Neural Network Models for Guo 2018 study - TensorFlow format
    Contributors: Creator: Guo, Tiancheng (Durham University, UK)
    Data collector: Guo, Tiancheng (Durham University, UK)
    Data curator: Guo, Tiancheng (Durham University, UK)
    Contact person: Breckon, Toby (Durham University, UK)
    Data curator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Computer vision, Raindrop detection, Rain detection, Rain removal, Rain noise removal, Rain interference, Scene context, Raindrop saliency, Rain classification, Convolutional neural network (CNN), Deep learning
    Date Uploaded: 25 November 2018
  3. Rain Drop Image Data Set for Guo 2018 study - still image set [Download]

    Title: Rain Drop Image Data Set for Guo 2018 study - still image set
    Contributors: Creator: Guo, Tiancheng (Durham University, UK)
    Data collector: Guo, Tiancheng (Durham University, UK)
    Data curator: Guo, Tiancheng (Durham University, UK)
    Contact person: Breckon, Toby (Durham University, UK)
    Data curator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Computer vision, Raindrop detection, Rain detection, Rain removal, Rain noise removal, Rain interference, Scene context, Raindrop saliency, Rain classification, Convolutional neural network (CNN), Deep learning
    Date Uploaded: 25 November 2018
  4. Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection - supporting materials

    Title: Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection - supporting materials
    Contributors: Creator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Data curator: Dunnings, Andy (Durham University, UK)
    Data curator: Deshmukh, Atharva (Durham University, UK)
    Description:
    Keywords: fire detection, deep learning, machine learning , convolution neural network, computer vision, video analysis
    Date Uploaded:
  5. Field imaging near to the surface of terahertz reflective optics using a vector network analyzer [Download]

    Title: Field imaging near to the surface of terahertz reflective optics using a vector network analyzer
    Contributors: Creator: Hajji, Maryam (Durham University, United Kingdom)
    Contact person: Hajji, Maryam (Durham University, United Kingdom)
    Data collector: Hajji, Maryam (Durham University, United Kingdom)
    Data curator: Hammler, Jonathan (Durham University, United Kingdom)
    Data collector: Zeze, Dagou (Durham University, United Kingdom)
    Data collector: Balocco, Claudio (Durham University, United Kingdom)
    Data collector: Gallant, Andrew (Durham University, United Kingdom)
    Description: Dataset contains S-parameter measurements recorded with Vector Network Analyser Agilent N5224A. Data are stored as a Matlab v5 (*.mat) file. Complex values of the measured S-parameter are stored in a 101x101x11 (X*Y*Z) matrix.
    Keywords: Diffractive optics, Reflection, optical properties, phase shift, Spectroscopy,terahertz, Metals, Terahertz imaging
    Date Uploaded: 9 October 2017
  6. Supporting Data: Field Imaging of zone plate reflectors using a Terahertz Vector Network Analyzer

    Title: Supporting Data: Field Imaging of zone plate reflectors using a Terahertz Vector Network Analyzer
    Contributors: Data curator: Hammler, Jonathan (Durham University, United Kingdom)
    Data collector: Hajji, Maryam (Durham University, United Kingdom)
    Creator: Hajji, Maryam (Durham University, United Kingdom)
    Description:
    Keywords: dataset, VNA measurements, imaging
    Date Uploaded:
  7. Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow - Evaluation Dataset [Download]

    Title: Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow - Evaluation Dataset
    Contributors: Creator: Hamilton, O.K. (Durham University, UK)
    Creator: Breckon, Toby P. (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Description:
    Keywords: computer vision, image processing, 3D, object removal, scene mapping, automotive vision, stereo vision
    Date Uploaded: 11 May 2016
  8. Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation - Evaluation Dataset [Download]

    Title: Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation - Evaluation Dataset
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Creator: Webster, Dereck D. (Cranfield University, UK)
    Description:
    Keywords: aindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification, image processing, computer vision
    Date Uploaded: 21 January 2016
  9. Real-time traversable surface detection by colour space fusion and temporal analysis - Evaluation Dataset [Download]

    Title: Real-time traversable surface detection by colour space fusion and temporal analysis - Evaluation Dataset
    Contributors: Contact person: Breckon, Toby P. (Durham University, UK)
    Creator: Breckon, Toby P. (Durham University, UK)
    Creator: Katramados, Ioannis (Cranfield University, UK)
    Description: Data set from research paper: Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis (I. Katramados, S. Crumpler, T.P. Breckon), In Proc. International Conference on Computer Vision Systems, Springer, Volume 5815, pp. 265-274, 2009. Previously released (2009-2015) as zip file download from personal web page of the authors (Katramados / Breckon).
    Keywords: computer vision, image processing, image analysis, robotics, path detection, robot guidance, traversable pathway, terrain classification, road following, robotic navigation
    Date Uploaded: 3 December 2015