PNG

This is the data for the odometric model.

  • Transportation
  • Last Updated On: 
    Sun, 06/23/2019 - 05:13

    This dataset provides digital images and videos of surface ice conditions were collected from two Alberta rivers - North Saskatchewan River and Peace River - in the 2016-2017 winter seasons.

    Images from North Saskatchewan River were collected using both Reconyx PC800 Hyperfire Professional game cameras mounted on two bridges in Edmonton as well as a Blade Chroma UAV equipped with a CGO3 4K camera at the Genesee boat launch.

    Data for the Peace River was collected using only the UAV at the Dunvegan Bridge boat launch and Shaftesbury Ferry crossing.

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Wed, 06/05/2019 - 16:23

    The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition.

  • Sensors
  • Last Updated On: 
    Fri, 05/24/2019 - 22:27

    The "Dynamic Scenes" Dataset is provided for testing visual loop closure detection algorithms in highly dynamic scenes. It has a strong background in some crucial applications such as autonomous driving systems.

  • Transportation
  • Last Updated On: 
    Fri, 05/03/2019 - 15:06

    This dataset is a companion to a paper, "Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars" by DeLatte et al. 2019. DOI link: http://dx.doi.org/10.1109/JSTARS.2019.2918302

     

    These are the segmentation target files for the three targets described in the paper: solid filled, thicker edge, and thinner edge. 

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Wed, 05/29/2019 - 22:49

    A sample of synthetic noise-free reference image created by combining multiple instances of structurally preserved cilia cross-sections. The author has removed the dataset, the interested users can contact the author via email: amitsuveer@gmail.com 

  • Medical Imaging
  • Last Updated On: 
    Fri, 06/28/2019 - 07:49
    Citation Author(s): 
    Amit Suveer, Hrushikesh Garud, Anca Dragomir, Ida-Maria Sintorn

    We collected real crack image data to test and analyze the image-based crack detection results. We used 18 images with 1920×1080 resolution sequentially numbered from 1 to 18. And we performed labeling operation to classify the crack image into crack and background regions. online for free use. For the selection of a crack region, we applied a simple rule of extracting a crack edge and selecting the segment matching the true value. The inner region of the selected crack edge (i.e.

  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Cho Hyunwoo, Yoon Hyuk-Jin

    Datasets of confocal microscopy images of cardiomyocytes aimed at development of image recognition systems. Images of live and healthy cardiomyocytes with fluorescently stained sarcolemma were assigned into 5 classes according to their development stages. The least developed cardiomyocytes were considered to be at stage 1 (class 1) while the most developed ones were assigned stage 5 (class 5). All other images belong to a class 0.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Wed, 06/05/2019 - 16:06
    Citation Author(s): 
    A. Zahradnikova jr., P. Skrabanek

    We make our dataset publicly avaiable. It consists of 50 H&E stained histopathology annotated images at the nuclei level. This dataset is ideal for those who want an exhaustive annotation of H&E breast cancer patient from a Tripple Negative Breast Cancer cohort.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas;

    Machine learning is becoming increasingly important for companies and the scientific community. It allows us to generate solutions for several problems faced by society. In this study, we perform a science mapping analysis on the machine learning research, in order to provide an overview of the scientific work during the last decade in this area and to show trends that could be the basis for future developments in the field of computer science. This study was carried out using the CiteSpace and SciMAT tools based on results from Scopus and Clarivate Web of Science.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales