Independent Data Labeling Practice
As an independent practitioner, I labeled over 1,000 images consisting of objects, animals, and street scenes for practice AI datasets. I performed text classification tasks including spam vs non-spam sorting and sentiment labeling. My work involved creating bounding boxes and tags, followed by reviewing and correcting labeling errors for improved accuracy. • Labeled various images using bounding boxes to annotate objects and scenes. • Performed text classification for sentiment and spam detection. • Used tools such as LabelImg, CVAT, and web-based platforms for annotations. • Focused on accuracy and following detailed annotation guidelines.