diabetic_retinopathy_detection

• Description:

A large set of high-resolution retina images taken under a variety of imaging conditions.

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: https://www.kaggle.com/c/diabetic-retinopathy-detection/data

• Source code: tfds.image_classification.DiabeticRetinopathyDetection

• Versions:

  • 3.0.0 (default): New split API (https://tensorflow.org/datasets/splits)

• Download size: 1.13 MiB

• Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/downloads/manual/):
  You have to download this dataset from Kaggle. https://www.kaggle.com/c/diabetic-retinopathy-detection/data After downloading, unpack the test.zip file into test/ directory in manual_dir and sample.zip to sample/. Also unpack the sampleSubmissions.csv and trainLabels.csv.

• Auto-cached (documentation): No

• Splits:

• Feature structure:

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=5),
    'name': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): None

• Citation:

@ONLINE {kaggle-diabetic-retinopathy,
    author = "Kaggle and EyePacs",
    title  = "Kaggle Diabetic Retinopathy Detection",
    month  = "jul",
    year   = "2015",
    url    = "https://www.kaggle.com/c/diabetic-retinopathy-detection/data"
}

diabetic_retinopathy_detection/original (default config)

• Config description: Images at their original resolution and quality.

• Dataset size: 89.15 GiB

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

diabetic_retinopathy_detection/1M

• Config description: Images have roughly 1,000,000 pixels, at 72 quality.

• Dataset size: 3.96 GiB

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

diabetic_retinopathy_detection/250K

• Config description: Images have roughly 250,000 pixels, at 72 quality.

• Dataset size: 1.30 GiB

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

diabetic_retinopathy_detection/btgraham-300

• Config description: Images have been preprocessed as the winner of the Kaggle competition did in 2015: first they are resized so that the radius of an eyeball is 300 pixels, then they are cropped to 90% of the radius, and finally they are encoded with 72 JPEG quality.

• Dataset size: 3.65 GiB

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):