pet_finder

  • Description:

Dataset with images from 5 classes (see config name for information on the specific class)

Split Examples
'test' 14,465
'train' 58,311
  • Features:
FeaturesDict({
    'PetID': Text(shape=(), dtype=tf.string),
    'attributes': FeaturesDict({
        'Age': tf.int64,
        'Breed1': tf.int64,
        'Breed2': tf.int64,
        'Color1': tf.int64,
        'Color2': tf.int64,
        'Color3': tf.int64,
        'Dewormed': tf.int64,
        'Fee': tf.int64,
        'FurLength': tf.int64,
        'Gender': tf.int64,
        'Health': tf.int64,
        'MaturitySize': tf.int64,
        'Quantity': tf.int64,
        'State': tf.int64,
        'Sterilized': tf.int64,
        'Type': tf.int64,
        'Vaccinated': tf.int64,
        'VideoAmt': tf.int64,
    }),
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=5),
})
@ONLINE {kaggle-petfinder-adoption-prediction,
    author = "Kaggle and PetFinder.my",
    title  = "PetFinder.my Adoption Prediction",
    month  = "april",
    year   = "2019",
    url    = "https://www.kaggle.com/c/petfinder-adoption-prediction/data/"
}

Visualization