{"url":"/dataset/motion-blurred-and-defocused-dataset","name":"Motion Blurred and Defocused Dataset","full_name":"datacluster.ai","description_markdown":"This dataset consists of blurred, noisy and defocused images.\r\n\r\n### **Introduction**\r\nDataset consists of blurred images captured using mobile phones in real-world scenario. Images were captured under wide variety of lighting conditions, weather, indoor and outdoor. This dataset can be used for Image De-noising, Deblurring and noise removal algorithms. This can be also work as robust test set for denoising algorithms.\r\n\r\n### **Dataset Features**\r\n- Captured by 3000+ unique users\r\n- Rich in diversity\r\n- Mobile phone view point\r\n- HD Resolution\r\n- Various lighting conditions\r\n- Indoor and Outdoor scene\r\n\r\n### **Dataset Features**\r\n- Classification and detection annotations available\r\n- Multiple category annotations possible\r\n- COCO, PASCAL VOC and YOLO formats\r\n\r\n*To download full datasets or to submit a request for your dataset needs, please ping us on **sales@datacluster.ai***\r\nVisit www.datacluster.in to know more.\r\n\r\n**Note**:\r\nAll the images are manually verified and are contributed by the large contributor base on DataCluster platform","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/dataclusterlabs/motion-blurred-and-defocused-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Deblurring","url":"/task/deblurring","datasets_with_task":"/datasets/task/deblurring"},{"name":"Image Defocus Deblurring","url":"/task/image-defocus-deblurring","datasets_with_task":"/datasets/task/image-defocus-deblurring"},{"name":"Defocus Estimation","url":"/task/defocus-estimation","datasets_with_task":"/datasets/task/defocus-estimation"}],"languages":[],"variants":["Motion Blurred and Defocused Dataset"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}