Add dataset card for CaptureGuide-Bench

README.md

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+---
+pretty_name: CaptureGuide-Bench
+language:
+- en
+- zh
+license: other
+size_categories:
+- n<1K
+tags:
+- image
+- benchmark
+- photography
+- multimodal
+- vision-language
+- composition-recommendation
+- pose-recommendation
+- capture-time-guidance
+- arxiv:2606.25763
+viewer: false
+---
+
+# CaptureGuide-Bench
+
+[![arXiv](https://img.shields.io/badge/arXiv-2606.25763-b31b1b.svg)](https://arxiv.org/abs/2606.25763)
+[![HF Paper](https://img.shields.io/badge/Paper-HuggingFace-yellow.svg)](https://huggingface.co/papers/2606.25763)
+[![Project Page](https://img.shields.io/badge/Project-ShutterMuse-blue.svg)](https://lijayuTnT.github.io/ShutterMuse/)
+[![GitHub](https://img.shields.io/badge/GitHub-lijayuTnT%2FShutterMuse-black.svg)](https://github.com/lijayuTnT/ShutterMuse)
+[![Model](https://img.shields.io/badge/Model-ShutterMuse-orange.svg)](https://huggingface.co/ShutterMuse/ShutterMuse)
+
+CaptureGuide-Bench is the evaluation benchmark for **ShutterMuse: Capture-Time Photography Guidance with MLLMs**. It evaluates capture-time photography guidance from two complementary perspectives:
+
+- **Photographer-side / Composition Recommendation:** given the current framing, decide whether it should be kept, refined, or rejected, and recommend composition boxes when refinement is needed.
+- **Subject-side / Pose Recommendation:** given a scene image, recommend a scene-conditioned portrait pose. ShutterMuse predicts COCO-17 human keypoints with visibility states and can render the recommended pose for evaluation.
+
+## Links
+
+| Resource | Link |
+| --- | --- |
+| Paper | [arXiv:2606.25763](https://arxiv.org/abs/2606.25763) |
+| Paper Page | [Hugging Face Papers](https://huggingface.co/papers/2606.25763) |
+| Project Page | [ShutterMuse Project](https://lijayuTnT.github.io/ShutterMuse/) |
+| GitHub Repository | [lijayuTnT/ShutterMuse](https://github.com/lijayuTnT/ShutterMuse) |
+| ShutterMuse Model | [ShutterMuse/ShutterMuse](https://huggingface.co/ShutterMuse/ShutterMuse) |
+
+## Dataset Structure
+
+```text
+CaptureGuide-Bench/
+├── photographer-side/
+│   └── composition_benchmark/
+│       ├── meta_new.json
+│       └── original_composition/
+└── subject-side/
+    ├── paper-benchmark/
+    └── paper-benchmark-gt/
+```
+
+### Photographer-side: Composition Recommendation
+
+- **Task:** evaluate composition decision and refinement quality.
+- **Images:** `photographer-side/composition_benchmark/original_composition/` contains 421 benchmark images.
+- **Annotations:** `photographer-side/composition_benchmark/meta_new.json` stores image-level composition metadata, textual rationales, scores, and optional composition boxes.
+- **Main fields:**
+  - `origin`: rationale fields for the original framing, including good/bad reasons and composition type labels.
+  - `composition_boxes`: candidate refinement boxes. Each `rect` is normalized as `[x1, y1, x2, y2]`.
+  - `score`: composition quality score used by the benchmark scripts.
+
+### Subject-side: Pose Recommendation
+
+- **Task:** evaluate scene-conditioned portrait pose recommendation.
+- **Input images:** `subject-side/paper-benchmark/` contains 552 scene images.
+- **Reference images:** `subject-side/paper-benchmark-gt/` contains the paired reference/ground-truth images with matching file names.
+- **Evaluation:** the ShutterMuse evaluation code compares generated pose visualizations against the paired references using VLM-based and pose-quality metrics.
+
+## Download
+
+### Download the full benchmark
+
+```bash
+hf download ShutterMuse/CaptureGuide-Bench \
+  --repo-type dataset \
+  --local-dir CaptureGuide-Bench
+```
+
+### Download only the photographer-side split
+
+```bash
+hf download ShutterMuse/CaptureGuide-Bench \
+  --repo-type dataset \
+  --include "photographer-side/*" \
+  --local-dir CaptureGuide-Bench
+```
+
+### Download only the subject-side split
+
+```bash
+hf download ShutterMuse/CaptureGuide-Bench \
+  --repo-type dataset \
+  --include "subject-side/*" \
+  --local-dir CaptureGuide-Bench
+```
+
+### Download with Python
+
+```python
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id="ShutterMuse/CaptureGuide-Bench",
+    repo_type="dataset",
+    local_dir="CaptureGuide-Bench",
+)
+```
+
+If you use the official ShutterMuse evaluation scripts, place or symlink the downloaded benchmark as `Benchmark/` under the ShutterMuse repository root:
+
+```bash
+git clone https://github.com/lijayuTnT/ShutterMuse.git
+cd ShutterMuse
+hf download ShutterMuse/CaptureGuide-Bench --repo-type dataset --local-dir Benchmark
+```
+
+The expected paths are:
+
+```text
+ShutterMuse/Benchmark/photographer-side/composition_benchmark/meta_new.json
+ShutterMuse/Benchmark/photographer-side/composition_benchmark/original_composition/
+ShutterMuse/Benchmark/subject-side/paper-benchmark/
+ShutterMuse/Benchmark/subject-side/paper-benchmark-gt/
+```
+
+## Usage with ShutterMuse Evaluation
+
+Install the project dependencies following the [GitHub repository](https://github.com/lijayuTnT/ShutterMuse), then run one benchmark target at a time:
+
+```bash
+bash evaluation/scripts/run_unified_evaluation.sh photographer-model
+bash evaluation/scripts/run_unified_evaluation.sh photographer-baseline
+bash evaluation/scripts/run_unified_evaluation.sh subject
+bash evaluation/scripts/run_unified_evaluation.sh subject-baseline
+```
+
+Common environment variables include `OUTPUT_ROOT`, `PYTHON_BIN`, model checkpoint paths, LoRA checkpoint paths, and API keys such as `GEMINI_API_KEY`, `QWEN_API_KEY`, and `GPT_API_KEY` for VLM-based scoring or API baselines.
+
+## Citation
+
+If you use CaptureGuide-Bench, please cite:
+
+```bibtex
+@misc{li2026shuttermuse,
+  title        = {ShutterMuse: Capture-Time Photography Guidance with MLLMs},
+  author       = {Li, Jiayu and Fang, Yixiao and Hu, Tianyu and Cheng, Wei and Huang, Ping and Fan, Zheheng and Yu, Gang and Ma, Xingjun},
+  year         = {2026},
+  eprint       = {2606.25763},
+  archivePrefix = {arXiv},
+  primaryClass = {cs.CV},
+  url          = {https://arxiv.org/abs/2606.25763}
+}
+```
+
+## License
+
+The benchmark is released for research use. Please check the project repository and dataset repository for the latest license and usage terms.