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        "author": "Rogier Knoester",
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        "description": "# OmniArt Eye Dataset\nThis package provides a dataset of 118,576 painted eyes. These eyes are extracted from about 245,000 paintings from the [OmniArt](http://isis-data.science.uva.nl/strezoski/#2) dataset.\nThe dataset provides the eyes as images, the colour of the iris, and metadata from the OmniArt dataset.\n\n\n#### Usage\nThe dataset can be used like any other PyTorch dataset. It extends the ``ImageFolder`` class to provide the images and labels/colour and in addition attaches the OmniArt metadata as a dictionary.\nThe following classes are used, and how many of that class exist in the dataset:  \n\n| Colour    | Count |\n|-----------|-------|\n| Amber     | 3,114  |\n| Blue      | 18,926 |\n| Brown     | 42,094 |\n| Gray      | 7,637  |\n| Grayscale | 16,234 |\n| Green     | 5,220  |\n| Hazel     | 1,578  |\n| Irisless  | 18,282 |\n| Negative  | 96,042 |\n| Red       | 5,491  |\n\nThe ``negative`` class exists to be able to classify non-eye images. It contains samples of primarily noise and facial areas, such as closed eyelids.\n\n###### Example\nThe dataset can be used in the following way\n```python\nimport torch\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport torchvision.utils as vutils\nfrom torchvision.transforms import transforms\n\nfrom omniart_eye_dataset import OmniArtEyeDataset\n\ndataset = OmniArtEyeDataset(transform=transforms.Compose([\n                               transforms.Resize(50),\n                               transforms.CenterCrop(50),\n                               transforms.ToTensor(),\n                           ]))\n\ndataloader = torch.utils.data.DataLoader(dataset, batch_size=64, shuffle=True, num_workers=4)\n\n# Take 64 random entries\nimages, color, metadata = next(iter(dataloader))\n\n# Plot the entries\nplt.figure(figsize=(10, 10))\nplt.axis(\"off\")\nplt.title(\"OmniArt eyes\")\nplt.imshow(np.transpose(vutils.make_grid(images, padding=5, normalize=True), (1, 2, 0)))\nplt.show()\n```\n\n![Sample eyes](images/sample.png?raw=true)  \n\n\n\n\n\n### Related\nThis dataset has already been used to train a [classifier](https://github.com/rogierknoester/omniart_eye_classifier) and painted eye generator.\n\n\n\n### Project origin\nThis package is part of a Master's thesis at the University of Amsterdam.\n\n",
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