Computer Vision

Endoscopy is a widely used clinical procedure for the early detection of cancers in hollow-organs such as oesophagus, stomach, and colon. Computer-assisted methods for accurate and temporally consistent localisation and segmentation of diseased region-of-interests enable precise quantification and mapping of lesions from clinical endoscopy videos which is critical for monitoring and surgical planning. Innovations have the potential to improve current medical practices and refine healthcare systems worldwide.

  • Artificial Intelligence
  • Computer Vision
  • Image Processing
  • Machine Learning
  • Biomedical and Health Sciences
  • Medical Imaging
  • Last Updated On: 
    Sun, 03/29/2020 - 13:15

    The data set includes three sub-data sets, namely the DAGM2007 data set, the ground crack data set, and the Yibao bottle cap defect data set, which are divided into a training set and a test set, in which the positive and negative samples are unbalanced.

    286 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 01/15/2020 - 05:59

    Nextmed project is a software platform for the segmentation and visualization of medical images. It consist on a series of different automatic segmentation algorithms for different anatomical structures and  a platform for the visualization of the results as 3D models.

    This dataset contains the .obj and .nrrd files that correspond to the results of applying our automatic lung segmentation algorithm to the LIDC-IDRI dataset.

    This dataset relates to 718 of the 1012 LIDC-IDRI scans.

    219 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    These three datasets cover Western, Chinese and Japanese food used for food instance counting and segmentation evaluation.

    103 views
  • Computer Vision
  • Last Updated On: 
    Mon, 01/06/2020 - 10:36

    This is a small dataset as a part of huge dataset of breast cancer images. The images are mammograms. 

    229 views
  • Computer Vision
  • Last Updated On: 
    Fri, 12/27/2019 - 08:21

    The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.

    194 views
  • Computer Vision
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    Calibration datasets used in the article Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration based on DLT. These datasets were acquired with a Lytro Illum camera using two calibration grids with different sizes: 8 × 6 grid of 211 × 159 mm (Big Pattern) with approximately 26.5 mm cells, and 20×20 grid of 121.5 × 122 mm (Small Pattern) with approximately 6.1 mm cells. Each dataset acquired is composed of 66 fully observable poses of the calibration pattern.

    210 views
  • Computer Vision
  • Last Updated On: 
    Thu, 12/12/2019 - 17:31

    Research on damage detection of road surfaces has been an active area of research, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand the type of damage and its extent in order to take effective action in advance or to allocate the necessary resources. Moreover, currently there are few uniform and openly available road damage datasets, leading to a lack of a common benchmark for road damage detection.

    865 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 01/21/2020 - 14:54

    Dataset for Telugu Handwritten Gunintam

    204 views
  • Computer Vision
  • Last Updated On: 
    Fri, 11/29/2019 - 07:25

    Addtional datasets for the jounal paper subimitted to IEEE Transactions on Computational Imaging, including self-captured light field microscopy datasets with lab-assembled LF microscope.

    90 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 11/27/2019 - 22:19

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