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README.md

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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+---
+# HiRes-50K Dataset
+
+**HiRes-50K** is a **cross-domain evaluation-only dataset** designed to assess the **generalization capability of AI-generated image (AIGI) detection models** and their performance on **high-resolution, high-fidelity images**.  This dataset is not intended for model training and should only be used for evaluation purposes.
+
+
+## Dataset Overview
+
+HiRes-50K consists of **50,568 images**, covering long-edge resolutions from below 1K to over 10K pixels, with some reaching up to 64 megapixels.  
+
+The dataset is collected from the following publicly accessible communities:
+
+- **AI-generated image sources**: [Freepik](https://www.freepik.com/) (2025), [LiblibAI](https://www.liblib.art/) (2025), [Civitai](https://civitai.com/) (2025)  
+- **Real image source**: [Unsplash](https://unsplash.com/) (2025)
+
+All images were collected in compliance with the Terms of Service and Privacy Policies of their respective sources at the time of access.
+
+## Dataset Composition
+
+### 1. AI-Generated Images
+
+- **Quantity**: ~25,000 images  
+- **Content categories**:
+  - Portraits (close-ups, upper-body, full-body, and group images)
+  - Landscapes (mountains, beaches, cities, rural areas, deserts, various weather conditions)
+  - Architecture (urban scenes, skyscrapers, villas, neighborhoods)
+  - Vehicles and animals
+
+**Resolution distribution:**
+
+| Resolution range (px, long edge) | Image count |
+| -------------------------------- | ----------- |
+| [0, 900)                         | 845         |
+| [900, 1200)                      | 6,665       |
+| [1200, 1500)                     | 6,399       |
+| [1500, 2000)                     | 5,262       |
+| [2000, 2500)                     | 3,674       |
+| [2500, 3000)                     | 571         |
+| [3000, 5000)                     | 1,196       |
+| [5000, ∞)                        | 472         |
+
+All images were filtered to ensure high JPEG quality (quality factor ≥ 75).
+
+### 2. Real Images
+
+To ensure a fair comparison, real images were matched with AI-generated images in both **resolution** and **JPEG compression level**. Real images were resized to match the pixel count of their synthetic counterparts while preserving aspect ratios. JPEG compression was applied with identical quality settings
+
+## Citation
+
+If you use this dataset in your research, please cite the following paper:
+
+> @article{zhang2025nopixel,
+> title={No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection},
+> author={Lianrui Mu, Zou Xingze, Jianhong Bai, and others},
+> journal={arXiv preprint arXiv:2508.17346},
+> year={2025},
+> url={https://arxiv.org/abs/2508.17346}
+> }