ml-debi/EfficientNetV2S-StanfordDogsA
Image Classification
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Updated
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This dataset is extracted from Stanford Dogs Dataset
import datasets
dataset = datasets.load_dataset("Alanox/stanford-dogs", split="full")
print(dataset)
"""
Dataset({
features: ['name', 'annotations', 'target', 'image'],
num_rows: 20580
})
"""
print(dataset.features)
"""
{
'name': Value(dtype='string', id=None),
'annotations': Array2D(shape=(None, 4), dtype='int32', id=None),
# ["xmin", "ymin", "xmax", "ymax"]
'target': Value(dtype='string', id=None),
'image': Image(decode=True, id=None)
}
"""
This dataset was created by the scripts from this github repo
n02105855_2933.jpg
was not a .jpg
. Converted all images to .jpg