Building Smarter Vision: My Dive into AI-Powered Data Annotation 🚦🤖
Currently working on a project that blends full-stack development with computer vision — 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 — 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 — 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