Data annotation/labelling
Scale AIGeospatial Tiled ImageryBounding BoxEntity Ner Classification
The project involved supporting AI and machine learning models through high-quality video and image annotation, text generation, and data categorization. Tasks included bounding box annotation, semantic segmentation, text translation, sentiment analysis, and content moderation, with project sizes ranging from small-scale (300–1,000 data points) to large-scale datasets (5,000+ data points). For better results, strict adherence to accuracy, consistency, and deadlines was maintained, alongside compliance with data privacy and security protocols. Collaboration with teams of 10–30 annotators and integration of feedback ensured the delivery of precise and reliable data, contributing to the success of AI initiatives.
The project involved supporting AI and machine learning models through high-quality video and image annotation, text generation, and data categorization. Tasks included bounding box annotation, semantic segmentation, text translation, sentiment analysis, and content moderation, with project sizes ranging from small-scale (300–1,000 data points) to large-scale datasets (5,000+ data points). For better results, strict adherence to accuracy, consistency, and deadlines was maintained, alongside compliance with data privacy and security protocols. Collaboration with teams of 10–30 annotators and integration of feedback ensured the delivery of precise and reliable data, contributing to the success of AI initiatives.
2020 - 2024