Crop Pest and Disease AI System: Image Data Labeling (Twiga Foods)
Developed and deployed a crop pest and disease detection AI system requiring labeled agricultural images for model training. Labeled image datasets to identify and classify multiple types of crop diseases and pests, supporting object detection workflow. Validated and curated labeled image data sets for production model evaluation and improvement. • Integrated labeled images with Django backend systems in agricultural domain • Applied AI-driven object detection methods for improving field diagnostics • Collaborated with cross-functional teams to ensure data accuracy • Utilized internal tooling and image processing pipelines throughout the labeling process.