Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
64
64
label
class label
3 classes
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
0cats
End of preview. Expand in Data Studio

Animals (cats / dogs / panda), 64x64

The exact train/test split produced by the datasplit step of the Azure ML pipeline (seed 42, 20% test per class): 800 train + 200 test images per class. Images were resized to 64x64 by the data_prep step.

Layout is the imagefolder format: data/<split>/<label>/<file>.jpg, so the label comes from the folder name. The configs block above maps each folder to a split.

from datasets import load_dataset
ds = load_dataset("Totmaat/howest-animals")  # DatasetDict with "train" and "test"
Downloads last month
155