qiuzhangTiTi/OpenRR-5k
OpenRR-5k The OpenRR-5k dataset is a large-scale benchmark for single-image reflection removal (SIRR) in the wild, introduced as part of the NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods. The dataset consists of real-world images covering a variety of reflection scenarios and intensities. GitHub Repository: caijie0620/OpenRR-5k 🥇🥈🥉 NTIRE 2026 SIRR Challenge Award Winners Prize Team PSNR ↑ SSIM ↑ LPIPS… See the full description on the dataset page: https://huggingface.co/datasets/qiuzhangTiTi/OpenRR-5k.
| Author / organization | qiuzhangTiTi |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 358 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 5 May 2025 |
| Last updated at source | 11 May 2026 |
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- 17 Oct 2026 Description: OpenRR-5k The OpenRR-5k dataset is a large-scale benchmark for single-image reflection removal (SIRR) in the wild, introduced as part of the NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods → OpenRR-5k The OpenRR-5k dataset is a large-scale benchmark for single-image reflection removal (SIRR) in the wild, introduced as part of the NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods
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