Data Annotation & Labeling (Text, Image, Audio) for ML workflow practice
Completed annotation and labeling of sample datasets for machine learning practice, including text, image, and audio content. Applied provided guidelines to categorize and tag items consistently across the dataset. Performed quality checks by reviewing outputs and correcting annotation errors to maintain high standards. • Labeled and categorized text samples based on guideline criteria • Tagged and categorized image samples with consistent labeling rules • Labeled audio-related samples using guideline-based categories • Conducted accuracy and consistency checks across batches