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| license: cc-by-nc-nd-4.0 |
| task_categories: |
| - image-classification |
| tags: |
| - iris recognition |
| - iris regions |
| - nir images |
| - biometric recognition |
| - iris patterns |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Human Iris Dataset |
| The dataset comprises **5,000+** high-quality iris images from **5,000+** individuals, captured for **iris recognition** and **biometric** tasks, with each person contributing left and right eye images to enable **verification** and **identification** algorithms. It supports classification of ocular structures, detection of attacks, and analysis of colors, textures, and unique irises for image processing and iris pattern analysis tasks. |
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| By utilizing this dataset researchers and developers can advance **recognition** methods, **identification**, and **verification algorithms** for devices - **[Get the data](https://unidata.pro/datasets/human-iris-images-biometric/?utm_source=huggingface&utm_medium=referral&utm_campaign=human-iris-images-biometric)** |
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| ## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/human-iris-images-biometric/?utm_source=huggingface&utm_medium=referral&utm_campaign=human-iris-images-biometric) to discuss your requirements and pricing options. |
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| ## Example for the dataset |
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| Each image file is named using a unique identifier that encodes the individual's ID, eye side, and capture conditions. The images are accompanied by a CSV metadata file. |
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| Researchers can utilize this dataset to explore recognition technology, biometrics, and spoofing detection methods that aim to prevent identity fraud and ensure reliable biometric verification. |
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| ## 🌐 [UniData](https://unidata.pro/datasets/human-iris-images-biometric/?utm_source=huggingface&utm_medium=referral&utm_campaign=human-iris-images-biometric) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
