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        "author": "Bin Wang",
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        "description": "# bidcap\nBenchmark Image Dataset Collection And Preprocessing\n\n## Image datasets incorporated so far\n\n* MNIST dataset and its variants - 12000 train, 50000 test\n    * MB: MNIST basic dataset\n    * MBI: MNIST background image - A patch from a black and white image was used as the background for the digit image\n    * MDRBI: MNIST digits with rotation and background image - The perturbations used in MRD and MBI were combined.\n    * MRB: MNIST random background - A random background was inserted in the digit image\n    * MRD: MNIST rotated digits - The digits were rotated by an angle generated uniformly between 0 and 360 radians.\n\n* CONVEX dataset - 8000 train, 50000 test\n\n## Usage of the package\n\n### download the datasets\n\nDownload the datasets and put the files under the root directory of your project as shown in the following picture. \n\n![alt text](https://github.com/wwwbbb8510/bidcap/blob/master/dataset_file_structure.PNG \"Datasets file structure\")\n\n### Load the datasets\n```python\n# import the loader tool\nfrom bidcap.utils.loader import ImagesetLoader\n# import mb. Pass the dataset name described above as the first parameter\ndata = ImagesetLoader.load('mb')\n# training images\ndata.train['images']\n# training labels\ndata.train['labels']\n# test images\ndata.test['images']\n# test labels\ndata.test['labels']\n```\n\n\n",
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