Sample Data Labeling Project – Image Classification & Text Annotation
I completed a small self-directed data labeling project to learn the fundamentals of annotation workflows. The project involved classifying ~300 images of everyday objects (shoes, bottles, electronics, etc.) into predefined categories and verifying label consistency. Tasks included: • Classifying images into 10 object categories • Checking data quality and correcting inconsistent labels • Following a simple labeling guideline I created to ensure accuracy • Organizing the dataset in a structured format (CSV)