Sign Language Gesture Data Annotation (AI project)
OtherImageClassification
The Sign Language Recognition System project involves collecting and labeling gesture data for AI training. The focus is on accurately annotating visual features of sign language gestures in images to enable machine learning classification. Data preprocessing and quality control are key components of the labeling process.
• Labeled gesture images with class labels representing different sign language signs.
• Ensured correct extraction of hand and finger features for high-quality annotation.
• Used Python-based tools for preprocessing and data handling.
• Collaborated with team members to validate and refine labeled datasets.
The Sign Language Recognition System project involves collecting and labeling gesture data for AI training. The focus is on accurately annotating visual features of sign language gestures in images to enable machine learning classification. Data preprocessing and quality control are key components of the labeling process. • Labeled gesture images with class labels representing different sign language signs. • Ensured correct extraction of hand and finger features for high-quality annotation. • Used Python-based tools for preprocessing and data handling. • Collaborated with team members to validate and refine labeled datasets.
2023 - Present