Update README.md

Author: robmarkcole

README.md

@@ -315,12 +315,13 @@ It comprises 24 pairs of multispectral images taken from the Sentinel-2 satellit
 * https://captain-whu.github.io/SCD/
 * Change detection at the pixel level
 
-## Amazon and Atlantic Forest dataset for semantic segmentation with Sentinel 2
+## Amazon and Atlantic Forest dataset
+For semantic segmentation with Sentinel 2
 * [Amazon and Atlantic Forest image datasets for semantic segmentation](https://zenodo.org/record/4498086#.Y6LPLuzP1hE)
-* [attention-mechanism-unet](https://github.com/davej23/attention-mechanism-unet) -> code for paper 'An attention-based U-Net for detecting deforestation within satellite sensor imagery'
-* [TransUNetplus2](https://github.com/aj1365/TransUNetplus2) -> code for 2023 paper: TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping
+* [attention-mechanism-unet](https://github.com/davej23/attention-mechanism-unet) -> An attention-based U-Net for detecting deforestation within satellite sensor imagery
+* [TransUNetplus2](https://github.com/aj1365/TransUNetplus2) -> Rethinking attention gated TransU-Net for deforestation mapping
 
-## fMoW - Functional Map of the World
+## Functional Map of the World ( fMoW)
 * https://github.com/fMoW/dataset
 * RGB & multispectral variants
 * High resolution, chip classification dataset
@@ -412,6 +413,7 @@ Since there is a whole community around GEE I will not reproduce it here but lis
 ## Image captioning datasets
 * [RSICD](https://github.com/201528014227051/RSICD_optimal) -> 10921 images with five sentences descriptions per image. Used in  [Fine tuning CLIP with Remote Sensing (Satellite) images and captions](https://huggingface.co/blog/fine-tune-clip-rsicd), models at [this repo](https://github.com/arampacha/CLIP-rsicd)
 * [RSICC](https://github.com/Chen-Yang-Liu/RSICC) -> the Remote Sensing Image Change Captioning dataset contains 10077 pairs of bi-temporal remote sensing images and 50385 sentences describing the differences between images. Uses LEVIR-CD imagery
+* [ChatEarthNet](https://github.com/zhu-xlab/ChatEarthNet) -> A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models, utilizes Sentinel-2 data with captions generated by ChatGPT
 
 ## Weather Datasets
 * NASA (make request and emailed when ready) -> https://search.earthdata.nasa.gov