Add metadata, project page link and improve description

README.md

@@ -1,12 +1,30 @@
+---
+license: apache-2.0
+datasets:
+- COCO
+- ReasonSeg
+- CountBench
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- Qwen2.5-VL
+pipeline_tag: image-text-to-text
+library_name: transformers
+---
 
 # VisionReasoner-7B
 
+[Paper](https://huggingface.co/papers/2505.12081)
 
-Code: https://github.com/dvlab-research/VisionReasoner
+Code: [https://github.com/dvlab-research/VisionReasoner](https://github.com/dvlab-research/VisionReasoner)
+
+Project page: [https://github.com/dvlab-research/VisionReasoner](https://github.com/dvlab-research/VisionReasoner)
 
 ## Description
 
-This is a VisionReasoner-7B model.  It introduces a decoupled architecture consisting of a reasoning model and a segmentation model. The reasoning model interprets user intentions, generates explicit reasoning chains, and produces positional prompts, which are subsequently used by the segmentation model to generate pixel-level masks.
+This is a VisionReasoner-7B model. It introduces a decoupled architecture consisting of a reasoning model and a segmentation model. The reasoning model interprets user intentions, generates explicit reasoning chains, and produces positional prompts, which are subsequently used by the segmentation model to generate pixel-level masks.
 
 ## Usage
 
@@ -17,4 +35,4 @@ import torch
 # load model
 model = AutoModelForCausalLM.from_pretrained("Ricky06662/VisionReasoner-7B")
 tokenizer = AutoTokenizer.from_pretrained("Ricky06662/VisionReasoner-7B")
-```
+```