I will develop yolo and transformer-based object detection models

I will develop high-performance and accurate Computer Vision object detection solutions using state-of-the-art deep learning models, including YOLO (YOLOv5, YOLOv8) and transformer-based architectures such as DETR and RT-DETR. My goal is to build robust systems that can detect and classify objects in images and videos with high precision and efficiency.

I can work with custom datasets and help you from start to end, including dataset preparation, annotation guidance, model training, evaluation, and optimization. I also provide real-time object detection systems and integration with OpenCV for practical applications. Whether you need a research prototype, academic project, or industry-level solution, I can tailor the model according to your requirements.

My expertise includes CNN-based and transformer-based vision models, PyTorch implementation, hyperparameter tuning, and performance improvement techniques to achieve better accuracy and faster inference speed. I ensure clean, well-structured code and clear communication throughout the project.

This service is suitable for applications like surveillance systems, autonomous vehicles, medical image analysis, industrial inspection, agriculture monitoring, and more. I focus on delivering reliable and efficient AI solutions that meet your specific needs.

Feel free to contact me before placing an order so we can discuss your project details and choose the best approach for your object detection problem.