Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Size:
10K - 100K
Tags:
biology
License:
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Fake Animals
This dataset is a collection of 10 types of animal images created using Stable Diffusion 3.5 Large.
Dataset Details
Dataset Description
All images have a resolution of 1024x1024 and are divided into training and test sets with 1000 and 500 images, respectively. The classes are as follows:
- '0': cat
- '1': dog
- '2': elephant
- '3': fish
- '4': giraffe
- '5': horse
- '6': lion
- '7': penguin
- '8': rabbit
- '9': tiger
The data was generated according to the prompt "a photo of {animal}."
Uses
from datasets import load_dataset
ds = load_dataset('Prgckwb/fake-animals')
ds_train = ds['train']
ds_test = ds['test']
License
Since this dataset was created using Stable Diffusion 3.5 Large, it should be used for non-commercial purposes and in accordance with this license.
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