{"id":23924541,"url":"https://github.com/dbpprt/duts-hq","last_synced_at":"2026-03-01T01:03:33.260Z","repository":{"id":79098668,"uuid":"462435925","full_name":"dbpprt/duts-hq","owner":"dbpprt","description":"HQ version of the DUTS dataset for saliency 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returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-05T19:15:12.892Z","updated_at":"2026-03-01T01:03:33.223Z","avatar_url":"https://github.com/dbpprt.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003ch1 align=\"left\"\u003eDUTS-HQ\u003c/h1\u003e\n\u003c/p\u003e\n\nHQ version of the [DUTS](http://saliencydetection.net/duts/) dataset for saliency detection, upscaled using [SwinIR](https://github.com/JingyunLiang/SwinIR) and refined by utilising [CascadePSP](https://github.com/hkchengrex/CascadePSP).\n\n---\n\n## Features\n- All images are upscaled by 4x using SwinIR and the ```003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.pth``` pretrained model\n- The images are square padded to 1600x1600 with black borders and all masks upscaled using bicubic interpolation\n- The masks are refined using [CascadePSP](https://github.com/hkchengrex/CascadePSP)\n- This dataset **only** includes the DUTS train set and not the validation set\n- The dataset contains the upscaled masks in the ```masks``` subdirectory and the processed masks in the ```hq-masks``` subdirectory\n- All images are stored as PNG, 3 channel for the images and 1 channel for the masks\n- All original filenames are retained\n\n## Samples\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eImage\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eMask\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eHQ Mask\u003c/td\u003e\n   \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/ILSVRC2012_test_00004908.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/masks/ILSVRC2012_test_00004908.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/hq-masks/ILSVRC2012_test_00004908.png\"  alt=\"1\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/ILSVRC2013_test_00008420.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/masks/ILSVRC2013_test_00008420.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/hq-masks/ILSVRC2013_test_00008420.png\"  alt=\"1\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n   \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/n03188531_21621.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/masks/n03188531_21621.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/hq-masks/n03188531_21621.png\"  alt=\"1\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n   \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/n04371430_146.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/masks/n04371430_146.png\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/hq-masks/n04371430_146.png\"  alt=\"1\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n\u003c/table\u003e\n\n### Original images\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eImage\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eMask\u003c/td\u003e\n   \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/orig/ILSVRC2012_test_00004908.jpg\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"samples/orig/ILSVRC2012_test_00004908.png\" alt=\"2\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n   \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/orig/ILSVRC2013_test_00008420.jpg\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"samples/orig/ILSVRC2013_test_00008420.png\" alt=\"2\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n   \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/orig/n03188531_21621.jpg\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"samples/orig/n03188531_21621.png\" alt=\"2\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n   \u003ctr\u003e\n    \u003ctd\u003e \u003cimg src=\"samples/orig/n04371430_146.jpg\"  alt=\"1\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"samples/orig/n04371430_146.png\" alt=\"2\"\u003e\u003c/td\u003e\n   \u003c/tr\u003e\n\u003c/table\u003e\n\n## Download links\n- [GH](https://github.com/dennisbappert/duts-hq/releases/tag/dataset)\n\n## Warning\nThe refined masks aren't always perfect, but they are pretty good. There are a couple of quite noisy samples in the dataset, hence I included the original upscaled and padded masks in the dataset.\n\n## Citation\n```bibtex\n@inproceedings{wang2017,\n  title={Learning to Detect Salient Objects with Image-level Supervision},\n  author={Wang, Lijun and Lu, Huchuan and Wang, Yifan and Feng, Mengyang \n  and Wang, Dong, and Yin, Baocai and Ruan, Xiang}, \n  booktitle={CVPR},\n  year={2017}\n}\n```\n\n```bibtex\n@inproceedings{liang2021swinir,\n  title={SwinIR: Image Restoration Using Swin Transformer},\n  author={Liang, Jingyun and Cao, Jiezhang and Sun, Guolei and Zhang, Kai and Van Gool, Luc and Timofte, Radu},\n  booktitle={IEEE International Conference on Computer Vision Workshops},\n  year={2021}\n}\n```\n\n```bibtex\n@inproceedings{cheng2020cascadepsp,\n  title={{CascadePSP}: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement},\n  author={Cheng, Ho Kei and Chung, Jihoon and Tai, Yu-Wing and Tang, Chi-Keung},\n  booktitle={CVPR},\n  year={2020}\n}\n```\n\n\n## License and Acknowledgement\nThis dataset is based on the initial work of ```wang2017``` augmented using SwinIR by ```liang2021swinir``` and CascadePSP by ```cheng2020cascadepsp``` and follows their original licenses. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbpprt%2Fduts-hq","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbpprt%2Fduts-hq","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbpprt%2Fduts-hq/lists"}