Software Engineering
Current- Independently developed a system that processes video frames in real-time using YOLO, improving model accuracy through dynamic retraining.
- Built a client-server architecture to stream video frames via socket communication, enabling real-time object detection and annotation.
- Implemented automatic retraining of the YOLO model based on newly annotated data, enhancing detection accuracy with each iteration.
- Developed a pipeline to compare pre- and post-training performance by generating combined videos, illustrating model improvements.
- Integrated ONNX model export to facilitate cross-platform deployment.