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<div align="center"> <h1><a href="https://ieeexplore.ieee.org/document/9934924">LEVIR-CC Dataset & LEVIR-MCI Dataset</a></h1> </div> Dataset for Remote Sensing Image Change Captioning and Change DetectionPaper Source
- LEVIR-CC: A Large Dataset for Remote Sensing Image Change Captioning. [Paper] [code]
- LEVIR-MCI: A Large Dataset for exploring multi-task learning for change detection and change captioning. [Paper] [code]
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 |
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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.
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Download link (https://github.com/Chen-Yang-Liu/Change-Agent)
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Some examples of our dataset are as follows: