data labelling
Image
SegmentationProject involved large-scale image annotation and segmentation for AI training and machine learning models across platforms such as Appen and MultiMango. Responsibilities included accurately labeling objects, boundaries, and regions within images to improve model performance and data accuracy. Tasks covered image segmentation, object detection, classification, and validation of annotated datasets across different industries such as retail, automotive, and general internet data collection. Quality measures included strict adherence to annotation guidelines, consistency checks, accuracy reviews, and written justifications for flagged cases to ensure high-quality training data and reliable AI model outputs
2025 - Present