Labeling Specialist for Vision Transformer Rice Disease Project
I participated in developing a Vision Transformer model for classifying rice leaf diseases using digital images. My work primarily involved annotating image data to train the AI, identifying and confirming disease types visible in each image. I tested, debugged, and optimized the dataset labeling to improve model performance and classification accuracy. • Labeled rice leaf images according to disease categories • Utilized internal or proprietary tools for annotation and review • Verified label accuracy and consistency through testing and iteration • Contributed to UI adjustments to ensure smooth workflow.