Image Processing

The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters.

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  • Artificial Intelligence
  • Last Updated On: 
    Tue, 11/12/2019 - 10:46

    The dataset consists of 60285 character image files which has been randomly divided into 54239 (90%) images as training set 6046 (10%) images as test set. The collection of data samples was carried out in two phases. The first phase consists of distributing a tabular form and asking people to write the characters five times each. Filled-in forms were collected from around 200 different individuals in the age group 12-23 years. The second phase was the collection of handwritten sheets such as answer sheets and classroom notes from students in the same age group.

    127 views
  • Computer Vision
  • Last Updated On: 
    Mon, 10/28/2019 - 01:08

    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

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

    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 (~1.72M frames) traffic sign detection video dataset (CURE-TSD) which is among the most comprehensive datasets with controlled synthetic challenging conditions. The video sequences in the 

    257 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 10/13/2019 - 17:07

    This data set contains 50 low resolution (640 x 360) short videos containing a variety real life activities.

    46 views
  • Image Processing
  • Last Updated On: 
    Mon, 10/21/2019 - 09:56

    This Dataset consist of 3Dmodels in Spherical harmonic coefficients andcorresponding shortcut of front view, the SH degree is 80.

    19 views
  • Image Processing
  • Last Updated On: 
    Sat, 10/12/2019 - 22:55

    The modified CASIA dataset is created for research topics like: percetual image hash, image tampering detection, user-device physical unclonable function and so on. 

    83 views
  • Image Processing
  • Last Updated On: 
    Tue, 10/15/2019 - 03:30

    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.

    193 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 10/13/2019 - 17:08

    This dataset includes all letters from Turkish Alphabet in two parts. In the first part, the dataset was categorized by letters, and the second part dataset was categorized by fonts. Both parts of dataset includes the features mentioned below.

    • 72, 20 AND 8 POINT LETTERS
    • UPPER AND LOWER CASES

    The all characters in Turkish Alphabet are included (a, b, c, ç, d, e, f, g, ğ, h, ı, i, j, k, l, m, n, o, ö, p, r, s, ş, t, u, ü, v, y, z).

    197 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 10/10/2019 - 02:45

    The Dataset

    The Onera Satellite Change Detection dataset addresses the issue of detecting changes between satellite images from different dates.

    771 views
  • Computer Vision
  • Last Updated On: 
    Wed, 10/09/2019 - 08:34

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