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@@ -11,4 +11,45 @@ tags:
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  - Realistic
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  - Sketch
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  - Portrait
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  - Realistic
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  - Sketch
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  - Portrait
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+ ---
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+
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+ # **Multilabel-Portrait-18K**
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ Example (`.csv`):
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+
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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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+ ```