Satellite Image Segmentation and Labeling Specialist (Student Project)
ImageSegmentation
For the oil spill detection project, I annotated and preprocessed satellite images and related geospatial data. My focus was on segmenting oil spills from vast backgrounds under various environmental conditions. Labeling quality directly impacted the downstream model's precision and recall.
• Annotated satellite images with detailed pixel-wise segmentation.
• Utilized TensorFlow, OpenCV, and Google Earth Engine for labeling and data management.
• Carefully managed class imbalance and false positive reduction via precise segmentation.
• Delivered labeled datasets that supported robust and accurate SVM and Random Forest model training.
For the oil spill detection project, I annotated and preprocessed satellite images and related geospatial data. My focus was on segmenting oil spills from vast backgrounds under various environmental conditions. Labeling quality directly impacted the downstream model's precision and recall. • Annotated satellite images with detailed pixel-wise segmentation. • Utilized TensorFlow, OpenCV, and Google Earth Engine for labeling and data management. • Carefully managed class imbalance and false positive reduction via precise segmentation. • Delivered labeled datasets that supported robust and accurate SVM and Random Forest model training.
2025 - 2025