{"url":"/dataset/unsplash-1k","name":"Unsplash_1k","full_name":"Unsplash_1k_crops","description_markdown":"Inpainting networks are typically benchmarked on samples from Places2 dataset. However, this dataset does not have high resolution images for evaluation purposes. Instead, we will use images from the Unsplash-Lite Dataset, which contains 25k high resolution nature-themed photos. We randomly sampled 1000 images from the dataset. Each image is resized and cropped to 1024x1024, and a set of masks is generated with thin, medium, and thick brush strokes, using the methodology described in LaMa.\r\n\r\nThe purpose of this dataset is to serve as a test-set for evaluating inpainting performance on high resolution natural images.","description_withheld":null,"homepage":"https://tinyurl.com/mpr7w3xt","introduced_date":"2022-06-27","introduced_date_note":null,"introduced_by":null,"license":{"name":"Apache License 2.0","url":"https://www.apache.org/licenses/LICENSE-2.0"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Inpainting","url":"/task/image-inpainting","datasets_with_task":"/datasets/task/image-inpainting"}],"languages":[],"variants":["Unsplash_1k"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}