Case Study: TACK Project speeds up image annotation with SuperAnnotate

TACK Project speeds image annotation with SuperAnnotate using 100+ crack images

The TACK project, a research initiative by universities in Sweden and Italy, faced the time-consuming and inefficient challenge of manually annotating thousands of images to train AI models for detecting cracks in bridges and tunnels. This annotation process was a major bottleneck in their goal to automate infrastructure monitoring. To accelerate this crucial step, the researchers turned to the SuperAnnotate platform.

Using SuperAnnotate's online tools, particularly its 'Smart Segmentation' feature, the team was able to significantly speed up the image annotation process. The platform allowed multiple researchers to collaborate and maintain annotation quality, while the smart tools automatically detected the shapes of cracks, reducing the manual work required for each image. By leveraging SuperAnnotate, the project efficiently created the high-quality labeled datasets needed to develop a more accurate and robust AI model for automated infrastructure safety assessments.

TACK Project