README.md

metadata

license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
tags:
  - Computer Vision
  - Machine learning
  - Medical
  - Classification
  - Forensics
size_categories:
  - 10K<n<100K

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.

💵 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