Facial Recognition Data Labeling for Criminal Identification System
ImageClassification
Developed and trained a facial recognition system for criminal identification by labeling and categorizing images. Collected and labeled facial images to improve computer vision model accuracy. Annotated datasets to support both identity verification and anomaly detection in law enforcement workflows. • Labeled images for facial recognition training and testing
• Ensured image data quality and consistency across the dataset
• Supported dataset expansion by identifying and classifying challenging edge cases
• Collaborated with team members to refine labeling guidelines and improve model performance
Developed and trained a facial recognition system for criminal identification by labeling and categorizing images. Collected and labeled facial images to improve computer vision model accuracy. Annotated datasets to support both identity verification and anomaly detection in law enforcement workflows. • Labeled images for facial recognition training and testing • Ensured image data quality and consistency across the dataset • Supported dataset expansion by identifying and classifying challenging edge cases • Collaborated with team members to refine labeling guidelines and improve model performance
2023 - 2024