Building Smarter Vision: My Dive into AI-Powered Data Annotation ๐ฆ๐ค
Currently working on a project that blends full-stack development with computer vision โ annotating real-world street data to help AI models learn how to detect pedestrians, vehicles, and objects (as shown in the image above: bounding boxes around cars, cyclists, pedestrians, and traffic signals). As a full-stack developer, my focus is on building a clean, scalable annotation pipeline โ a backend that can handle large image datasets efficiently, and a frontend that makes the annotation process fast and accurate. This isn't just labeling โ it's the foundation that helps self-driving cars, smart city systems, and safety-critical AI understand the real world. Next update: sharing progress on the annotation tool and the first milestone once it's delivered. #BuildingInPublic #ComputerVision #FullStackDevelopment #AI
Really cool project. Clean annotation pipelines make a huge difference in the quality of AI models. Keep sharing the progress! ๐ฏ
Love seeing people build in public. Annotation is often overlooked, but it's one of the most important parts of training reliable AI models. ๐
This looks promising! Are you planning to support video annotation as well, or just images for now?