This dataset consists of blurred, noisy and defocused images.

Introduction

Dataset 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.

Dataset Features

• Captured by 3000+ unique users
• Rich in diversity
• Mobile phone view point
• HD Resolution
• Various lighting conditions
• Indoor and Outdoor scene

Dataset Features

• Classification and detection annotations available
• Multiple category annotations possible
• COCO, PASCAL VOC and YOLO formats

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Note: All the images are manually verified and are contributed by the large contributor base on DataCluster platform