This code repository provides a method for generating pseudo labels for thermal infrared image segmentation using the Segment Anything Model (SAM). The generated dataset can be used to pretrain segmentation models for specific categories with minimal labeled data.

Overview of our proposed method:

Framework of the proposed method:

Label generation with masks generated by SAM:

Some samples of our generated dataset SATIR: