Face recognition is a biometric technology that recognizes or authenticates an individual by scanning facial features through image processing and machine learning algorithms. The system identifies a face, extracts important features, digitizes them into numerical information, and compares it with stored profiles for authentication or identification. To assess the performance of a face recognition system, measures such as accuracy (overall correctness), precision (correct positive predictions), recall (ability to locate all actual positives), and F1-score (harmonic mean of precision and recall) are utilized to quantify its reliability and efficency.
We have used this Kaggle dataset for our project, and here is the link to the dataset: Kaggle Gender Face Recognition Dataset
- Kaustabh Shit
- Ranita Tripathy
- Pratyush Singh
- Deep Saha
- Piyush Anand
- Tannistha Mishra