Charles Vidal

I can help companies improve their object detection performance usingYOLO by enriching and retraining their models with their own image datasets.

If you are looking to enhance detection accuracy, reduce false positives, or adapt YOLO to your specific production environment, I can support the full pipeline: dataset preparation, annotation optimization, model fine-tuning, evaluation, and deployment.

I also have experience integrating detection workflows with **ShotGrid Event systems**, enabling automated processing, monitoring, and production-ready pipelines. I successfully implemented a similar solution for **Ellipse Animation**, where I designed and deployed a custom event-driven integration to streamline their workflow, with unit test also.

In addition, if you are looking for backend development support, I am available to build robust APIs and services using Flask or FastAPI, whether for model serving, automation tools, or production pipeline integration.

I am ready to help you design scalable, clean, and efficient solutions tailored to your technical and business needs.