Appen Picture classification
I worked on a large-scale image classification project with Appen focused on the transport industry. The project involved reviewing and categorizing thousands of images of vehicles, road scenes, and transport-related infrastructure. My responsibilities included accurately labeling images based on predefined classification guidelines, identifying key objects such as vehicles, road signs, and environmental conditions, and ensuring consistency across datasets. I followed strict annotation protocols and maintained high accuracy standards while meeting daily productivity targets. The project required attention to detail, fast decision-making, and adherence to quality assurance processes, including regular audits and feedback loops to improve labeling accuracy. I consistently met quality benchmarks and contributed to improving dataset reliability for machine learning model training.