data anotation
DocumentData Collection
The project involves the systematic labelling and clssfication of raw datasets to prepare high quality training data for machine learning models. the goal is to improve model accuracy by ensuring that images, data, text are correctly annotated based on predefined guidelines. The work includes reviewing unstructured datasets, identifying relevant features, and applying consistent labels using annotation tools. This project is producing a structure, high quality datasets that will improve the performance and reliability of machine learning outputs.
The project involves the systematic labelling and clssfication of raw datasets to prepare high quality training data for machine learning models. the goal is to improve model accuracy by ensuring that images, data, text are correctly annotated based on predefined guidelines. The work includes reviewing unstructured datasets, identifying relevant features, and applying consistent labels using annotation tools. This project is producing a structure, high quality datasets that will improve the performance and reliability of machine learning outputs.
2025 - Present