Computer Vision
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About this service
Summary
Real-time detection and tracking capabilities
Utilization of the state-of-the-art YOLOv5 model
Integration with OpenCV for image processing and computer vision tasks
What's included
Computer Vision
This project implemented a real-time object detection and tracking system using the YOLOv5 (You Only Look Once version 5) algorithm in conjunction with OpenCV. The system was designed to identify and track objects in video streams or camera feeds with high accuracy and speed. - Real-time detection and tracking capabilities - Utilization of the state-of-the-art YOLOv5 model - Integration with OpenCV for image processing and computer vision tasks
Skills and tools
ML Engineer
OpenCV
PyTorch
TensorFlow
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