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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}
> }