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CVATNo subject matter listed
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VideoI am an Agricultural Extension graduate with over three years of hands-on experience in data collection, annotation, and project coordination, particularly within agriculture and AI-driven research. My background includes organizing large-scale field studies, curating high-quality datasets, and applying manual labeling and quality checks for computer vision projects, such as building a labeled image set of over 1,200 pest-damage photos and achieving 98% inter-annotator agreement using CVAT. I am proficient with tools like Labelbox, CVAT, Excel, Google Sheets, and have a strong understanding of data pipelines and annotation workflows. My passion for leveraging AI extends to speech synthesis and voice-over production, having scripted and recorded training modules and audio tutorials for diverse audiences. I am committed to delivering accurate, reliable training data and continuously expanding my skills in data annotation platforms and AI applications.
AI text platform to text different response of model answers and compare their response to a question. Model are rate according to quality of response given.
Interview schedule of farmers while taking their voice record for group discussions on weather information for a digital app about weather forecast for African farmers
Crop disease detection while focusing on their symptoms and signs and using disease and plant album to compare before giving the final answer
Master of Science, Agricultural Extension and Rural Development
Diploma, Agribusiness Management
Project Coordinator
Central Coordinator
