Datasets:
Tasks:
Image Classification
Formats:
imagefolder
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K - 10K
License:
File size: 2,986 Bytes
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---
size_categories:
- 1K<n<10K
license: other
tags:
- ghibli
- ai-generated
- image-classification
language:
- en
pretty_name: Ghibli Real vs AI Dataset
task_categories:
- image-classification
task_ids:
- multi-class-classification
splits:
- name: train
num_examples: 4257
annotations_creators:
- machine-generated
source_datasets:
- Nechintosh/ghibli
- nitrosocke/Ghibli-Diffusion
- KappaNeuro/studio-ghibli-style
dataset_info:
labels:
- real
- ai
---
# Ghibli Real vs AI-Generated Dataset
- One sample per line
- Includes: `id`, `image`, `label`, `description`
- Use this for standard classification or image-text training
- Real images sourced from [Nechintosh/ghibli](https://huggingface.co/datasets/Nechintosh/ghibli) (810 images)
- AI-generated images created using:
- [nitrosocke/Ghibli-Diffusion](https://huggingface.co/nitrosocke/Ghibli-Diffusion) (2637 images)
- [KappaNeuro/studio-ghibli-style](https://huggingface.co/KappaNeuro/studio-ghibli-style) (810 images)
- Note: While the KappaNeuro repository does not explicitly state a license, it is a fine-tuned model based on [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0), which is distributed under the CreativeML Open RAIL++-M License. Therefore, it is assumed that this model inherits the same license and non-commercial restrictions.
### How to load
```python
from datasets import load_dataset
samples = load_dataset("pulnip/ghibli-dataset", split="train")
# Convert labels to binary classification: 'real' vs 'ai'
# Note: The original "label" field contains "real", "nitrosocke", and "KappaNeuro".
# You can treat all non-"real" labels as "ai" to use this dataset for binary classification.
for sample in samples:
sample["binary_label"] = "real" if sample["label"] == "real" else "ai"
```
## License and Usage
This dataset combines data from multiple sources. Please review the licensing conditions carefully.
### Real Images
- Source: [Nechintosh/ghibli](https://huggingface.co/datasets/Nechintosh/ghibli)
- License: Not explicitly stated; assumed for **non-commercial research use only**
### AI-Generated Images
- Source models:
- [nitrosocke/Ghibli-Diffusion](https://huggingface.co/nitrosocke/Ghibli-Diffusion)
Loaded with: `torch_dtype=torch.float16`
- [KappaNeuro/studio-ghibli-style](https://huggingface.co/KappaNeuro/studio-ghibli-style)
Loaded with: `torch_dtype=torch.float16, variant="fp16"`
- These models are provided under community licenses that generally restrict usage to **non-commercial and research purposes**.
---
### Summary
This repository is not published under a single license such as MIT.
Because the dataset includes content from multiple sources with varying restrictions,
**the dataset is licensed under 'other' and should be treated as non-commercial research-use only.**
Users are responsible for reviewing each component’s license terms before redistribution or adaptation.
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