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README.md
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_Note: This is an AI-generated dataset so its content may be inaccurate or false_
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**Dataset Description:**
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**CSV Content Preview:**
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```
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ID, ImageURL, Expression, Identity, Labels
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001, https://example.com/image001.jpg, Happy, John Doe, ["HappyExpression", "MaleIdentity"]
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002, https://example.com/image002.jpg, Sad, Jane Smith, ["SadExpression", "FemaleIdentity"]
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003, https://example.com/image003.jpg, Angry, Mike Johnson, ["AngryExpression", "MaleIdentity"]
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004, https://example.com/image004.jpg, Surprised, Emily Davis, ["SurprisedExpression", "FemaleIdentity"]
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005, https://example.com/image005.jpg, Neutral, Alex Lee, ["NeutralExpression", "MaleIdentity"]
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```
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In this CSV preview, each row represents an individual's image from the dataset, with columns indicating the image URL, the facial expression label, the identity of the individual (a placeholder name for anonymity), and a list of labels that specify both the expression and the identity. This format allows for multi-label classification where each image can belong to multiple categories.
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**Source of the data:**
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The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '
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- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q
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- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
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_Note: This is an AI-generated dataset so its content may be inaccurate or false_
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**Dataset Description:**
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The 'HUMANFaceDataset' is a curated collection of high-resolution images depicting various facial expressions across a wide range of human identities. The dataset has been meticulously labeled to facilitate studies in facial expression recognition and emotion analysis. Each entry includes an image file, associated metadata, and a label that denotes the dominant facial expression displayed in the image. The labeling process involved human annotators who reviewed the images to ensure accuracy and consistency in labeling. The dataset is designed to support machine learning models in tasks related to facial expression recognition, emotion detection, and human behavioral analysis.
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**CSV Content Preview:**
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```csv
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ImageID,ImageURL,Label
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HUMANFaceDataset001,https://example.com/image1.jpg,JoyfulExpression
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HUMANFaceDataset002,https://example.com/image2.jpg,ContemplativeExpression
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HUMANFaceDataset003,https://example.com/image3.jpg,SurprisedExpression
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HUMANFaceDataset004,https://example.com/image4.jpg,AngryExpression
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HUMANFaceDataset005,https://example.com/image5.jpg,ContentExpression
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```
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**Source of the data:**
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The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':
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- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=HUMANFaceDataset&tags=facial,+expression,+identity
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- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
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