Update README.md

README.md

@@ -1,4 +1,109 @@
-VisualGenome 是一个大规模的多模态数据集，旨在为计算机视觉和自然语言处理任务提供丰富的视觉和语义信息。该数据集包含了超过 108,000 张图像，每张图像都附带有详细的注释，包括对象、属性、关系、区域描述和问答对。这些注释为图像中的视觉元素提供了深层次的语义理解，使得 VisualGenome 成为训练和评估视觉理解模型的宝贵资源。
-在 VisualGenome 中，每张图像都标注了多个对象（如人、动物、物品等），并为每个对象提供了属性描述（如颜色、形状、状态等）。此外，数据集还标注了对象之间的关系（如“人骑自行车”），以及图像中特定区域的详细描述。这些信息不仅帮助模型理解图像中的内容，还能够支持更复杂的任务，如图像生成、视觉问答和场景理解。
-VisualGenome 的问答对部分包含了针对每张图像的自然语言问题及其答案，这些问题涵盖了图像中的各种视觉和语义信息。这使得 VisualGenome 成为训练视觉问答（VQA）模型的理想数据集，能够帮助模型学习如何从图像中提取信息并回答相关问题。
-总的来说，VisualGenome 通过其丰富的多模态注释，为研究人员和开发者提供了一个强大的工具，用于推动计算机视觉和自然语言处理领域的前沿研究。无论是用于对象检测、图像描述生成，还是视觉问答任务，VisualGenome 都能为模型提供全面而细致的训练数据，帮助提升模型的性能和泛化能力。 
+---
+license: cc-by-4.0
+task_categories:
+  - image-to-text
+  - object-detection
+  - visual-question-answering
+language:
+  - en
+size_categories:
+  - 100K<n<1M
+tags:
+  - visual-genome
+  - scene-graph
+  - region-descriptions
+  - visual-relationships
+  - attributes
+  - object-detection
+  - image-captioning
+  - vqa
+pretty_name: Visual Genome Raw Data
+---
+
+# Visual Genome Raw Data
+
+This repository provides a convenient copy of the raw Visual Genome dataset files for easier access and downloading.
+
+> This is **not an official Visual Genome release**.  
+> The original dataset was created and released by the Visual Genome authors.  
+> Please refer to the official Visual Genome website and paper for authoritative information.
+
+## Dataset Summary
+
+Visual Genome is a large-scale vision-language dataset with dense image annotations, including:
+
+- Images
+- Region descriptions
+- Object annotations
+- Attribute annotations
+- Relationship annotations
+- Scene graphs
+- Visual question-answering annotations
+- WordNet synset mappings
+
+The dataset contains approximately:
+
+- 108K images
+- 5.4M region descriptions
+- 1.7M visual question-answer pairs
+- 3.8M object instances
+- 2.8M attributes
+- 2.3M relationships
+
+## Intended Use
+
+This dataset can be used for research on:
+
+- Image-text representation learning
+- Image captioning
+- Dense captioning
+- Object detection
+- Attribute recognition
+- Visual relationship detection
+- Scene graph generation
+- Visual question answering
+- Vision-language pretraining
+
+## Source
+
+Original Visual Genome website:
+
+```text
+https://visualgenome.org/
+```
+
+Dataset page:
+
+```text
+https://homes.cs.washington.edu/~ranjay/visualgenome/
+```
+
+## License
+
+Visual Genome is licensed under the Creative Commons Attribution 4.0 International License:
+
+```text
+CC BY 4.0
+https://creativecommons.org/licenses/by/4.0/
+```
+
+Users should comply with the original license terms, including proper attribution to the Visual Genome authors.
+
+## Citation
+
+If you use this dataset, please cite the original Visual Genome paper:
+
+```bibtex
+@article{krishna2017visualgenome,
+  title={Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations},
+  author={Krishna, Ranjay and Zhu, Yuke and Groth, Oliver and Johnson, Justin and Hata, Kenji and Kravitz, Joshua and Chen, Stephanie and Kalantidis, Yannis and Li, Li-Jia and Shamma, David A and Bernstein, Michael and Fei-Fei, Li},
+  journal={International Journal of Computer Vision},
+  year={2017}
+}
+```
+
+## Disclaimer
+
+This repository is not affiliated with, endorsed by, or maintained by the original Visual Genome authors.
+
+The data is provided as-is for convenience. Users are responsible for verifying the dataset version, file integrity, license terms, and suitability for their own use cases.