Скачать или смотреть Open Source Semi-Automatic Labeling Tool for Object Detection

Efficient and accurate annotation is essential for building high-quality object detection datasets, but manual labeling can be time-consuming and tedious. In this tutorial, we demonstrate how to use our open-source annotation platform to label microscopy images of E. coli bacteria with ease and precision.

Our platform allows you to:
Upload and annotate images
Fine-tune object detection models
Review and refine annotations interactively
Leverage semi-automatic annotation to improve efficiency

This semi-automatic workflow significantly reduces annotation time—by up to 53% compared to manual annotation—without compromising accuracy.

Learn how to streamline your annotation process and improve object detection datasets using our intuitive platform!

📄 Read the paper for more details: https://arxiv.org/abs/2411.19835
💻 Try it out on GitHub: https://github.com/ml-lab-htw/iterati...