Datasets:
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README.md
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- Realistic
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- Sketch
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- Portrait
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# **Multilabel-Portrait-18K**
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**Multilabel-Portrait-18K** is a multi-label portrait classification dataset designed to analyze and categorize different styles of portrait images. It supports classification into the following four portrait types:
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- **0** — Anime Portrait
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- **1** — Cartoon Portrait
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- **2** — Real Portrait
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- **3** — Sketch Portrait
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This dataset is ideal for training and evaluating machine learning models in the domain of portrait-style classification. The goal is to enable accurate recognition of artistic and real-world portraits for applications such as image generation, enhancement, style transfer, and content moderation.
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## **Use Cases**
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- Multi-label classification for style recognition
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- Pretraining or fine-tuning portrait classifiers
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- Improving filters and sorting in creative AI applications
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- Enhancing deepfake detection via portrait-style understanding
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- Style-transfer or portrait enhancement tools
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## **Dataset Details**
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- **Total Samples**: 18,000 portrait images
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- **Labels**: Multi-label format (each image may have more than one label)
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- **Label Schema**:
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- `0`: Anime Portrait
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- `1`: Cartoon Portrait
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- `2`: Real Portrait
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- `3`: Sketch Portrait
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## **Format**
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The dataset is typically provided in either:
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- A directory structure grouped by label
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- Or a `.csv` / `.json` file containing `filename` and `labels` fields
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Example (`.csv`):
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```csv
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filename,label
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portrait_001.jpg,"[0, 3]"
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portrait_002.jpg,"[2]"
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portrait_003.jpg,"[1, 2]"
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```
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