LEVIR-CC Dataset & LEVIR-MCI Dataset

A Large Dataset for Remote Sensing Image Change Captioning

Paper Source

• [Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset] and [code page]
• [Change-Agent: Towards Interactive Comprehensive Change Interpretation and Analysis] and [code page]

LEVIR-CC Dataset

Download Source:

• [Google Drive]
• [Baidu Pan (code:nq9y)]

The path list in the downloaded folder is as follows:

path to LEVIR_CC_dataset:
                ├─LevirCCcaptions.json
                ├─images
                  ├─train
                  │  ├─A
                  │  ├─B
                  ├─val
                  │  ├─A
                  │  ├─B
                  ├─test
                  │  ├─A
                  │  ├─B

where A contains images of pre-phase, B contains images of post-phase.

• Dataset mean and variance:

Folder	R_mean	G_mean	B_mean	R_var	G_var	B_var
A	0.44152	0.43863	0.37418	0.17623	0.16578	0.15337
B	0.33992	0.33383	0.28561	0.13035	0.12678	0.11959
ALL	0.39073	0.38623	0.32989	0.15329	0.14628	0.13648

The LEVIR-CC dataset contains 10,077 pairs of bi-temporal remote sensing images and 50,385 sentences describing the differences between images. Some examples of our dataset are as follows:

LEVIR- MCI Dataset

• The dataset contains bi-temporal images as well as diverse change detection masks and descriptive sentences. It provides a crucial data foundation for exploring multi-task learning for change detection and change captioning.
• Download link (https://github.com/Chen-Yang-Liu/Change-Agent) Some examples of our dataset are as follows: