Image Annotation, Text Data Labeling
I worked on a data labeling project using Labelbox, where I annotated large-scale image datasets for computer vision models in the autonomous vehicle industry. The task involved drawing bounding boxes and polygons to accurately label objects such as vehicles, pedestrians, and traffic signs. Additionally, I performed segmentation to refine object boundaries and improve model training accuracy. To ensure high-quality annotations, I utilized consensus scoring, quality control workflows, and model-assisted labeling for increased efficiency. The dataset was used for training object detection models, requiring precise annotation and adherence to strict labeling guidelines.