upload

.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1 +1,38 @@
-## 🎨 Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
+---
+license: cc-by-nc-4.0
+task_categories:
+- pixel-level caption
+- relationship analysis
+- summarization
+- question-answering
+language:
+- en
+---
+
+## 🎨 Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
+
+The interaction between humans and artificial intelligence (AI) is a crucial factor that reflects the effectiveness of multimodal large language models (MLLMs). However, current MLLMs primarily focus on image-level comprehension and limit interaction to textual instructions, thereby constraining their flexibility in usage and depth of response. Therefore, we introduce the **Draw-and-Understand project**: a new model, a multi-domain dataset, and a challenging benchmark for visual prompting.
+
+
+### Training and Eval Dataset Card
+
+- MDVP-Data is a comprehensive dataset for multi-domain visual-prompt instruction tuning. This dataset encompasses data for both point-level and region-level understanding, designed to enhance a model’s comprehension ability and robustness.
+
+- Based on MDVP-Data, we also introduce MDVP-Bench, a challenging benchmark designed to evaluate tasks that require a combination of detailed description referrals, inter-relationship analysis, and complex reasoning.
+
+
+### Paper and Code
+Paper: [https://arxiv.org/abs/2312.10032](https://arxiv.org/abs/2312.10032) \
+Code: [https://github.com/AFeng-x/Draw-and-Understand](https://github.com/AFeng-x/Draw-and-Understand)
+
+
+### License
+Attribution-NonCommercial 4.0 International \
+It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use.
+
+
+### Citations
+```
+@misc{
+}
+```

eval_dataset/Region_Level_Captioning/Osprey_80_detail_caption.json

@@ -1 +1,3 @@
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