Datasets:
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README.md
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license: cc-by-nc-nd-4.0
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task_categories:
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- image-classification
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tags:
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- Computer Vision
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- Machine learning
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- Medical
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- Classification
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- Forensics
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size_categories:
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- 10K<n<100K
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# Ear Detection - 14,000+ Images
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The dataset comprises **14,000+** ear images from **2,000** unique individuals, paired with reference face photos and demographic labels. Designed for **ear recognition** and **biometric identification**, it helps research in **human ear detection**, **recognition accuracy**, and **biometric systems**.
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By leveraging this dataset, researchers can improve identification systems, train neural networks, and develop robust recognition algorithms for person identification. - **[Get the data](https://unidata.pro/datasets/human-ear-detection-biometric-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=ear-detection-dataset)**
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## Example of the data
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Each entry includes Subject_id, Age_group, Capture_Device, and lighting details for reproducible research.
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# Frequently Asked Questions
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## What capture devices are represented in the ear detection dataset?
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The ear detection dataset includes images captured with multiple devices, including a Canon R6 and an iPhone 15. This device diversity is useful when developing models intended for deployment across different cameras rather than a single imaging setup.
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## Does the dataset support recognition of both left and right ears?
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Yes. Each subject is represented by a full-face reference image together with multiple captures of both the left and right ear.
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## Who can benefit from this dataset?
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This dataset can benefit biometric researchers, computer-vision engineers, forensic technology teams, and developers building ear-based identification systems. Its combination of full-face images and multiple left- and right-ear images can support models that learn relationships between facial and ear characteristics. It is also useful for benchmarking ear detection and classification under different lighting, orientations, and capture conditions.
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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-ear-detection-biometric-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=ear-detection-dataset) to discuss your requirements and pricing options.
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Focused on advancing ear biometrics, the dataset enables studies on detection methods, feature extraction, and deep learning-based approaches.
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## 🌐 [UniData](https://unidata.pro/datasets/human-ear-detection-biometric-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=ear-detection-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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