UniDataPro/ear-detection-dataset

Ear Detection - 14,000+ Images

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.

By leveraging this dataset, researchers can improve identification systems, train neural networks, and develop robust recognition algorithms for person identification. - Get the data

Example of the data

Each entry includes Subject_id, Age_group, Capture_Device, and lighting details for reproducible research.

Frequently Asked Questions

What capture devices are represented in the ear detection dataset?

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.

Does the dataset support recognition of both left and right ears?

Yes. Each subject is represented by a full-face reference image together with multiple captures of both the left and right ear.

Who can benefit from this dataset?

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.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Focused on advancing ear biometrics, the dataset enables studies on detection methods, feature extraction, and deep learning-based approaches.

🌐 UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects