Update README.md

README.md

@@ -28,6 +28,11 @@ pip install -U "huggingface_hub[cli]"
 huggingface-cli download MCG-NJU/Tracking-Any-Granularity --repo-type dataset --local-dir ./Tracking-Any-Granularity --local-dir-use-symlinks False --max-workers 16
 ```
 
+## 🔥 Latest News
+
+- **[2024-10-27]** To provide a benchmark for the task of language reference, such as 'Tracking by natural language specification' and 'Referring video object segmentation', we added the language description of the object in meta json.
+- **[2024-10-24]** [SAM 2++ model](https://github.com/MCG-NJU/SAM2-Plus) and part of [Tracking-Any-Granularity dataset](https://huggingface.co/datasets/MCG-NJU/tracking-any-granularity) are released. Check out the [project page](https://tracking-any-granularity.github.io/) for more details.
+
 ## Dataset Summary
 
 **T**racking-**A**ny-**G**ranularity (TAG) is a comprehensive dataset for training our unified model, termed Tracking-Any-Granularity (TAG), with annotations across three granularities: segmentation masks, bounding boxes, and key points.