# Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"

## TL;DR

This paper provides corrected and extended evaluation metrics for the 'Extended YouTube Faces' dataset, addressing previous labeling errors and offering new insights into face identification performance.

## Contribution

It introduces corrected labels, redefined evaluation protocols, and additional metrics for the dataset, enhancing the reliability of face recognition assessments.

## Key findings

- Corrected dataset labels and identities
- Extended evaluation with standard metrics
- Reproduced and improved recognition results

## Abstract

In this report, we provide additional and corrected results for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification". After further investigations, we discovered and corrected wrongly labeled images and incorrect identities. This forced us to re-generate the evaluation protocol for the new data; in doing so, we also reproduced and extended the experimental results with other standard metrics and measures used in the literature. The reader can refer to the original paper for additional details regarding the data collection procedure and recognition pipeline.