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benchmark image dataset collection and preprocessing

Project description


Benchmark Image Dataset Collection And Preprocessing

Image datasets incorporated so far

  • MNIST dataset and its variants - 12000 train, 50000 test

    • MB: MNIST basic dataset
    • MBI: MNIST background image - A patch from a black and white image was used as the background for the digit image
    • MDRBI: MNIST digits with rotation and background image - The perturbations used in MRD and MBI were combined.
    • MRB: MNIST random background - A random background was inserted in the digit image
    • MRD: MNIST rotated digits - The digits were rotated by an angle generated uniformly between 0 and 360 radians.
  • CONVEX dataset - 8000 train, 50000 test

Usage of the package

download the datasets

Download the datasets and put the files under the root directory of your project as shown in the following picture.

alt text

Load the datasets

# import the loader tool
from bidcap.utils.loader import ImagesetLoader
# import mb. Pass the dataset name described above as the first parameter
data = ImagesetLoader.load('mb')
# training images
# training labels
# test images
# test labels

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