Datasets:
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
image-generation
computer-vision
stable-diffusion
stock-photos
diffusion-models
synthetic-data
License:
Update README.md
Browse files
README.md
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## Dataset Creation
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**Generation Process
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- Software: AUTOMATIC1111/stable-diffusion-webui v1.10.1 (Python 3.10.12, Torch 2.1.2+cu121, xformers 0.0.23.post1)
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- Models used:
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- leosamsHelloworldXL_filmGrain20
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- Sampling: DPM++ 2M, 20 steps, CFG Scale 7
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- Additional processing: ADetailer with person, face, and hand detection models
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**Filtering
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- Graphics and NSFW images removed using:
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- timm/tiny_vit_21m_224.dist_in22k_ft_in1k (for graphics: drawing, cartoon, infographic, webpage, illustration, comic)
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- Marqo/nsfw-image-detection-384 (for NSFW)
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- resnet18 embeddings
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- CLIP-based detection (openai/clip-vit-large-patch14) of problematic body parts (repeated 3 times)
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**Captioning
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- Captions generated with Qwen/Qwen2.5-VL-3B-Instruct
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- System prompt: "You are an expert image captioner."
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- User prompt: "Write a concise, clear caption describing the picture."
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## Limitations
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- Some images
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- The dataset
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## Licence
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## Dataset Creation
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**Generation Process**
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- Software: AUTOMATIC1111/stable-diffusion-webui v1.10.1 (Python 3.10.12, Torch 2.1.2+cu121, xformers 0.0.23.post1)
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- Models used:
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- leosamsHelloworldXL_filmGrain20
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- Sampling: DPM++ 2M, 20 steps, CFG Scale 7
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- Additional processing: ADetailer with person, face, and hand detection models
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**Filtering**
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- Graphics and NSFW images removed using:
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- timm/tiny_vit_21m_224.dist_in22k_ft_in1k (for graphics: drawing, cartoon, infographic, webpage, illustration, comic)
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- Marqo/nsfw-image-detection-384 (for NSFW)
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- resnet18 embeddings
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- CLIP-based detection (openai/clip-vit-large-patch14) of problematic body parts (repeated 3 times)
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**Captioning**
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- Captions generated with Qwen/Qwen2.5-VL-3B-Instruct
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- System prompt: "You are an expert image captioner."
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- User prompt: "Write a concise, clear caption describing the picture."
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## Limitations
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- Some images exhibit artifacts, unrealistic features, or visual distortions.
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- The dataset includes individuals of various ethnic backgrounds, not exclusively Asians.
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- Contains identifiable individuals, including celebrities and politicians.
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- Due to prompt limitations, the dataset does not fully capture the diversity of Asian cultures, art forms, or traditional contexts.
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- Captions are automatically generated and may not be appropriate for all use cases.
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## Licence
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