My responsibilities
- Prepared the model workflow for detection experiments.
- Reviewed training outputs and detection visualizations.
- Organized project results for presentation.
Main features
- Object detection workflow
- Disease and pest category recognition
- Training result visualization
- Detection output review
Outcomes
- Demonstrated an applied computer-vision workflow for agricultural inspection.
- Built portfolio-ready project documentation for future expansion.
This project applies a YOLO detection workflow to tomato disease and pest recognition. The public portfolio version summarizes the workflow and leaves room for future dataset notes, model metrics, and demo downloads.
The project is intended to show both model-building familiarity and the ability to present visual detection results in a clear engineering format.