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Home > All Category Datasets > Computer Vision Datasets > 13,757 Images Reflection Dataset for Reflection Removal and Image Enhancement

13,757 Images Reflection Dataset for Reflection Removal and Image Enhancement

reflection dataset
image reflection dataset
reflection removal dataset
image enhancement dataset
glass reflection dataset

This dataset contains 13,757 real-world images including glass windows, glass displays, electronic screens, and other reflective surfaces. The dataset covers various subjects such as animals (cats, dogs, and other species), objects, food, and still-life scenes, with different levels of reflection intensity. The dataset is suitable for tasks including reflection detection, reflection removal, image enhancement, image restoration, object recognition, and visual perception model training.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data content
13,757 images with reflection
Data distribution
different subjects like animal(cat, dog and others), thing(food, still), different scenes like glass window, glass showcase, electronic screen and so on, different reflection degree like reflection, more reflection
Image resolution
no less than 97% of images have a resolution of 1080P or higher
Data format
common image formats like JPG and so on
Sample Sample
  • 13,757 Images Reflection Dataset for Reflection Removal and Image Enhancement
  • 13,757 Images Reflection Dataset for Reflection Removal and Image Enhancement
  • 13,757 Images Reflection Dataset for Reflection Removal and Image Enhancement
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What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

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