Datasets › Motion Blurred and Defocused Dataset

Motion Blurred and Defocused Dataset (datacluster.ai)

archive 2025-07-28

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

To download full datasets or to submit a request for your dataset needs, please ping us on sales@datacluster.ai** Visit www.datacluster.in to know more.

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

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Motion Blurred and Defocused Dataset

1 variant name, as the archive lists them.

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