Covid Detection CV model

Developed a robust component SDK for a pharmaceutical company, enabling efficient analysis of COVID-19 test videos. Utilized advanced computer vision techniques to perform object detection in the videos, employing YOLOv5 and YOLOv8 models. Implemented a custom ratio value for alignment, ensuring accurate object alignment based on orientation. Incorporated a VGG-based model for classification, enabling further analysis and insights on the detected objects. Leveraged the Roboflow platform for data annotation, ensuring accurate and comprehensive labeling of the video frames.

Robust component SDK development
Efficient analysis of COVID-19 test videos
Advanced computer vision techniques for object detection
Use of YOLOv5 and YOLOv8 models
Custom ratio value for accurate object alignment
VGG-based model for classification
Data annotation with Roboflow platform

client

TelAviv