Image Data Labeler for Microalgae Estimation (Master's Thesis)
OtherImageClassification
As part of my Master’s thesis, I labeled and categorized images of microalgae obtained from optical sensor systems for machine learning model development. The labeling process included annotating image data with microalgae type and corresponding concentration values as ground truth. I prepared these labeled datasets to train and evaluate classical and deep learning models for accurate algae estimation. • Labeled microalgae images using classification for AI model training
• Annotated datasets with concentration values as ground truth labels
• Implemented quality control procedures for high labeling accuracy
• Used Python and Jupyter Notebook for dataset management and analysis
As part of my Master’s thesis, I labeled and categorized images of microalgae obtained from optical sensor systems for machine learning model development. The labeling process included annotating image data with microalgae type and corresponding concentration values as ground truth. I prepared these labeled datasets to train and evaluate classical and deep learning models for accurate algae estimation. • Labeled microalgae images using classification for AI model training • Annotated datasets with concentration values as ground truth labels • Implemented quality control procedures for high labeling accuracy • Used Python and Jupyter Notebook for dataset management and analysis
2024 - Present