mapzer
Practical Experience: Large-scale annotation: I have experience creating and managing large-scale annotation projects using CVAT, including annotating thousands of images and videos for tasks such as object detection, image segmentation, and motion tracking." Relevant Use Cases: - Highlight projects: I participated in computer vision projects for vehicle detection in urban scenarios, using CVAT to create high-quality datasets that fed deep learning models with excellent performance in classification and tracking tasks. - Urban Paving and Public Lighting: I carried out specific work aimed at analyzing urban paving with a focus on night images, using CVAT to identify and annotate areas of interest related to public lighting and road conditions. - Drone Image Analysis: I also worked with drone images focused on solar panels, where I used CVAT to annotate and classify structures, contributing to the monitoring and evaluation of efficiency in renewable energy projects. Team Training: - Team Training: Trained teams of annotators and data analysts to use CVAT efficiently, ensuring quality and consistency in annotation results. - Good Practices: Established and implemented good annotation practices, optimizing data organization and the efficiency of operations with the tool.