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80M Vector Image Dataset – AI Training & Commercial Use
vector image dataset
AI training vector graphics
royalty-free vector images
commercial-use vector dataset
SVG dataset for machine learning
computer vision image dataset
large vector image collection
image recognition dataset
scalable vector dataset
This dataset contains 80 million high-quality vector images (SVG, EPS, AI formats), offering a vast collection for use in computer vision, machine learning, and creative applications. Each image is copyright-cleared and legally sourced through authorized channels, with transparent usage rights for both commercial and academic purposes. The dataset features a wide variety of vector content—icons, illustrations, infographics, and more—with excellent color fidelity and scalable resolution. Ideal for AI model training (e.g., image classification, object recognition), generative design models, and creative design inspiration, this resource ensures traceable IP rights and enables safe, large-scale usage in real-world environments.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
80 million images
Image type
posters, patterns, cartoons, backgrounds and other 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
Sample
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