Social Event Face Recognition
Social Event Face Recognition
Datasets
Social Event Face Recognition
File
Event Face Recognition
Use Case
Event Face Recognition
Description
Discover the Event Face Recognition dataset, sourced from pailixiang.com, featuring 8,837 images and over 40,000 faces with 3,000+ labeled participants.
Description:
The Event Face Recognition dataset is a comprehensive collection designed to advance face recognition technology. This dataset includes meticulously annotated images from various social events, featuring ground truth labels for robust training and validation of face recognition models.
Data Collection
The data was sourced from pailixiang.com, a popular Chinese photo live platform. During events, organizers upload images to the website, making them publicly accessible online. The images are only accompanied by the upload time and view count, with no inherent identity information.
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Labeling Process
To address the lack of identity data, a custom-developed software was employed for manual labeling. Expert annotators identified and labeled faces, resulting in a rich dataset with over 3,000 distinct participants annotated from more than 40,000 faces across 8,837 images.
Key Features
- Source: pailixiang.com (Chinese photo live platform)
- Total Images: 8,837
- Total Faces: 40,000+
- Labeled Participants: 3,000+
- Annotations: Ground truth labels for face recognition
- Metadata: Upload time and number of views
Applications
This dataset is ideal for:
- Training and validating face recognition models
- Research in social event analytics and attendee identification
- Developing applications for real-time event monitoring and security
This dataset is sourced from Kaggle.
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