Cyclone centre detection using Yolo-V8 - Data Labeling Contributor
I implemented an object detection project using YOLOv8 to automate cyclone centre detection in satellite images. The project involved annotating and labeling INSAT-3D satellite imagery for training deep learning models. This labeling effort contributed to the development of meteorological AI solutions. • Annotated satellite image data for cyclone core identification.• Used state-of-the-art deep learning models to validate labeling accuracy.• Improved disaster management and early warning system data through precise labeling.• Leveraged CVAT and Labelbox for manual image annotation tasks.