Shikenah C.

Hey there! I help teams turn images, videos, and other data into accurate, high-quality datasets for AI and machine learning projects. With hands-on experience in data annotation, image segmentation, and quality assurance, I understand the importance of following guidelines, maintaining consistency, and catching details that can make a difference in the final results. Here's what I can help you with: Image and video annotation Semantic and instance segmentation Bounding boxes, polygons, masks, and keypoints Satellite and aerial image annotation Data validation and quality assurance Annotation review and feedback Tools I work with: CVAT, Label Studio, Supervisely, Labelbox, Roboflow, and other annotation platforms. I enjoy working on projects that require focus, accuracy, and problem-solving. I'm comfortable following detailed guidelines, learning new workflows, and collaborating with a team to keep projects running smoothly. If you're looking for someone who takes quality seriously and is genuinely committed to getting the details right, I'd love to help with your project!