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As one of the research directions at OLIVES Lab @ Georgia Tech, we focus on recognizing textures and materials in real-world images, which plays an important role in object recognition and scene understanding. Aiming at describing objects or scenes with more detailed information, we explore how to computationally characterize apparent or latent properties (e.g. surface smoothness) of materials, i.e., computational material characterization, which moves a step further beyond material recognition.

75 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 05/20/2020 - 01:38

    As one of the research directions at OLIVES Lab @ Georgia Tech, we focus on recognizing textures and materials in real-world images, which plays an important role in object recognition and scene understanding. Aiming at describing objects or scenes with more detailed information, we explore how to computationally characterize apparent or latent properties (e.g. surface smoothness) of materials, i.e., computational material characterization, which moves a step further beyond material recognition.

    33 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 05/20/2020 - 00:25

    A custom made multispectral camera was used to collect a novel dataset of images of untreated lettuce leaves or leaves treated with vinegar, oil, or a combination of these. The camera captured image data at 10 wavelengths ∈[380nm,980nm] across the electromagnetic spectrum in the visible and NIR (near-infrared) regions. Imaging was done in a lab environment with the presence of ambient light.

    109 views
  • Computer Vision
  • Last Updated On: 
    Wed, 04/01/2020 - 13:28

    The graphical user interface (GUI) for memristor is designed under MATLAB GUIDE to study and visualize it's characteristics in interactive way. The GUI is developed so as to study by taking sinusoidal, square and triangular signal waveform only.

    92 views
  • Other
  • Last Updated On: 
    Sun, 03/29/2020 - 04:17

    Conveyor belts are the most widespread means of transportation for large quantities of materials in the mining sector. This dataset contains 388 images of structures with and without dirt buildup.

    One can use this dataset for experimentation on classifying the dirt buildup.

    84 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 01/29/2020 - 18:54

    An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

     This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

    332 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 11/26/2019 - 17:01

    An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

     This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

    52 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/25/2019 - 17:48

    An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

     This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

    289 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/25/2019 - 17:48

    As one of the research directions at OLIVES Lab @ Georgia Tech, we focus on the robustness of data-driven algorithms under diverse challenging conditions where trained models can possibly be depolyed. To achieve this goal, we introduced a large-sacle (1.M images) object recognition dataset (CURE-OR) which is among the most comprehensive datasets with controlled synthetic challenging conditions. In CURE

    297 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 10/13/2019 - 17:05

    We proposed a new dataset, HazeRD, for benchmarking dehazing algorithms under realistic haze conditions. As opposed to prior datasets that made use of synthetically generated images or indoor images with unrealistic parameters for haze simulation, our outdoor dataset allows for more realistic simulation of haze with parameters that are physically realistic and justified by scattering theory. 

    882 views
  • Standards Research Data
  • Last Updated On: 
    Tue, 11/12/2019 - 10:23