Master's Degree in Artificial Intelligence: Image Classification and Synthesis
OtherImageClassification
During the Master's program, I conducted hands-on research focused on AI image classification and synthesis. My work centered around building and training neural networks for automated plant leaf image classification. I utilized Python, TensorFlow, and PyTorch to process, annotate, and label datasets for model development.
• Developed methodologies for image dataset prepping and labeling.
• Generated synthetic images for training data augmentation.
• Performed manual image annotation for ground truth labeling.
• Analyzed classification results to improve label accuracy.
During the Master's program, I conducted hands-on research focused on AI image classification and synthesis. My work centered around building and training neural networks for automated plant leaf image classification. I utilized Python, TensorFlow, and PyTorch to process, annotate, and label datasets for model development. • Developed methodologies for image dataset prepping and labeling. • Generated synthetic images for training data augmentation. • Performed manual image annotation for ground truth labeling. • Analyzed classification results to improve label accuracy.
2017 - 2019