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  1. MD5 file checksums for DurLAR research data collection 2021-12-09 [Download]

    Title: MD5 file checksums for DurLAR research data collection 2021-12-09
    Contributors: Creator: Breckon (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 11 February 2022
  2. MD5 file checksums for DurLAR research data collecton 2021-09-01 [Download]

    Title: MD5 file checksums for DurLAR research data collecton 2021-09-01
    Contributors: Creator: Breckon (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 7 February 2022
  3. 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
  4. On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision [dataset] [Download]

    Title: On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision [dataset]
    Contributors: Creator: Groom, Michael (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description: Predominantly image files in PNG format.
    Keywords: Stereo vision, Spherical camera, Angular disparity, Stereo calibration, Computer vision, 3D vision
    Date Uploaded: 6 June 2022
  5. Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation [dataset] [Download]

    Title: Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation [dataset]
    Contributors: Data curator: Wang, Qian (Durham University, UK)
    Creator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description: Supporting open source software:  https://github.com/hellowangqian/cdspp-hda
    Keywords: heterogeneous domain adaptation, cross-domain projection, image classification, text classification, machine learning
    Date Uploaded: 30 May 2022
  6. Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition [dataset] [Download]

    Title: Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition [dataset]
    Contributors: Creator: Alsehaim, Aishah (Durham University, UK)
    Data collector: Alsehaim, Aishah (Durham University, UK)
    Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Re-identification, Action recognition, Convolutional Neural Networks
    Date Uploaded: 23 October 2021
  7. Fire Image Data Set for Dunnings 2018 study - PNG still image set [Download]

    Title: Fire Image Data Set for Dunnings 2018 study - PNG still image set
    Contributors: Data curator: Dunnings, Andy (Durham University, UK)
    Data collector: Dunnings, Andy (Durham University, UK)
    Creator: Dunnings, Andy (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Contact person: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Fire detection, Deep learning, Machine learning, Computer vision
    Date Uploaded: 30 July 2018
  8. Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

    Title: Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
    Contributors: Creator: Maciel-Pearson,Bruna (Durham University)
    Creator: Breckon, Toby (Durham University)
    Description:
    Keywords: unstructured environment, robot guidance, flight guidance, unmanned aerial vehicle, multi-task regression learning, deep learning, drone, unmanned aerial system
    Date Uploaded:
  9. 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:
  10. 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