Applied AI and computer vision projects.
This area covers my applied AI work, including a custom image annotation tool, YOLO model experiments, dataset preparation, and Flask-based detection demos. The AI work is active and evolving. The strongest completed piece is the custom annotation tooling and the broader workflow around preparing data for detection models.
Computer vision tools, built around real workflows.
My AI work focuses on practical computer vision workflows, including a custom image annotation tool, YOLO training experiments, dataset preparation, and Flask-based detection demos. This work is actively evolving, with the annotation platform and product detection pipeline serving as the foundation for future AI-powered systems.
- Annotation Custom image annotation tool, the strongest completed piece
- Training Early YOLO model experiments on hand-curated datasets
- Datasets Dataset preparation tooling tuned to the detection target
- Demos Flask-based detection demos and integration paths
Workflow
01 · Dataset
Curate and label data using a custom annotation tool built around the actual workflow. The annotation tooling is the most complete piece of the pipeline.
02 · Training
Early YOLO training experiments aimed at the target detection problem, with iteration on the dataset when accuracy is the limiting factor.
03 · Demo
Flask-based detection demos that exercise the trained models and provide an integration path into downstream systems.
Have a complex system to design, build, or stabilize?
Senior PHP, systems architecture, API integrations, and AI-powered tooling for production environments.