File size: 1,929 Bytes
b90baa9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
---
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](https://unidata.pro/datasets/human-ear-detection-biometric-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=ear-detection-dataset)**

## Example of the data 
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27063537%2Ff0180349257d1ad92a827d08beefc456%2FFrame%203%20(1).png?generation=1755448012574854&alt=media)

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](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.

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

## 🌐 [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