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A total of 442 sets of infrared remote sensing image data are provided. Each set includes the original remote sensing images, single-channel infrared remote sensing images, three-channel visible light remote sensing images, fused remote sensing images, target detection annotation files, semantic segmentation annotation files, and semantic segmentation mask images. These can be used for tasks such as target detection and semantic segmentation of remote sensing images.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data content
442 sets of data that each contains raw remote sensing image, single-channel infrared remote sensing image, three-channel RGB remote sensing image, fused remote sensing image, object detection annotation file, semantic segmentation annotation file, and semantic segmentation mask map
Data format
remote sensing image in GeoTiff format, object detection & semantic segmentation annotation file in Json format, semantic segmentation mask in PNG format
Data diversity
airport and port scenes across multiple countries and regions worldwide(Philippines, Thailand, Vietnam, etc.), with multiple annotated target categories
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.
Specifications
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