GranD-f
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[](https://grounding-anything.com/GranD-f) # 🌐💬 GranD-f - Grounded Conversation Generation (GCG) Dataset The GranD-f datasets comprise four datasets: one high-quality human-annotated set proposed in our GLaMM paper, and 3 other open-source datasets including Open-PSG, RefCOCO-g and Flickr-30k, repurposed for the GCG task using OpenAI GPT4. ## 💻 Download ``` git lfs install git clone https://huggingface.co/datasets/MBZUAI/GranD-f ``` ## 📚 Additional Resources - **Paper:** [ArXiv](https://arxiv.org/abs/2311.03356). - **GitHub Repository:** [GitHub - GLaMM](https://github.com/mbzuai-oryx/groundingLMM). - **Project Page:** For a detailed overview and insights into the project, visit our [Project Page - GLaMM](https://mbzuai-oryx.github.io/groundingLMM/). ## 📜 Citations and Acknowledgments ```bibtex @article{hanoona2023GLaMM, title={GLaMM: Pixel Grounding Large Multimodal Model}, author={Rasheed, Hanoona and Maaz, Muhammad and Shaji, Sahal and Shaker, Abdelrahman and Khan, Salman and Cholakkal, Hisham and Anwer, Rao M. and Xing, Eric and Yang, Ming-Hsuan and Khan, Fahad S.}, journal={The IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2024} } ```
[](https://grounding-anything.com/GranD-f) # 🌐💬 GranD-f——视觉锚定对话生成(Grounded Conversation Generation,简称GCG)数据集 GranD-f数据集包含四个子集:其一为本团队在GLaMM论文中提出的高质量人工标注数据集,其余三个均为开源数据集,分别为Open-PSG、RefCOCO-g与Flickr-30k,均通过OpenAI GPT-4适配转换为可用于GCG任务的数据集。 ## 💻 下载 git lfs install git clone https://huggingface.co/datasets/MBZUAI/GranD-f ## 📚 补充资源 - **论文**:[预印本平台ArXiv](https://arxiv.org/abs/2311.03356)。 - **GitHub仓库**:[GLaMM 项目仓库](https://github.com/mbzuai-oryx/groundingLMM)。 - **项目主页**:如需了解项目详细概述与核心洞察,请访问我们的[GLaMM 项目主页](https://mbzuai-oryx.github.io/groundingLMM/)。 ## 📜 引用与致谢 bibtex @article{hanoona2023GLaMM, title={GLaMM: 像素锚定多模态大模型(Pixel Grounding Large Multimodal Model)}, author={Rasheed, Hanoona and Maaz, Muhammad and Shaji, Sahal and Shaker, Abdelrahman and Khan, Salman and Cholakkal, Hisham and Anwer, Rao M. and Xing, Eric and Yang, Ming-Hsuan and Khan, Fahad S.}, journal={IEEE/CVF计算机视觉与模式识别会议(The IEEE/CVF Conference on Computer Vision and Pattern Recognition)}, year={2024} }




