YOLOv8 Image Annotation for Object Detection
Worked on image annotation and dataset preparation for object detection using YOLOv8. The project involved labeling objects in images using bounding boxes with high accuracy and consistency. Ensured correct annotation of objects under different conditions such as motion blur, lighting variations, and different angles. Followed strict annotation guidelines to maintain data quality for training AI models. Used annotation concepts similar to tools like CVAT and focused on producing structured and clean datasets suitable for machine learning workflows.