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images.cv

Labeled image datasets

Search labeled image datasets

images.cv FAQ Page

Find answers for all the questions regarding images.cv labeled image datasets and more


What is the purpose of images.cv?

images.cv is a great way to build your image dataset without the hassle and time wasted on organizing and formatting data that you download from other sources! We offer a number of built-in tools to help you increase the number and variety in your datasets.


Who is images.cv for?

Computer vision researchers and developers who needs labeled image datasets


How many images do you have on this website?

Over 5M


What are the terms of use?

images.cv is a search engine for academic research only, and we do not own any of the image data you find on our site unless it has been approved by an author who holds copyright over that particular piece(s) or dataset.


How long does it take to download an image dataset?

It depends on how many images you have in your datasets. Our servers produce 1K images in 3 minutes


How can I support you?

That a great question, please visit our BuyMeaCoffee page


Where do you get all the images from?

We scan the web, download, parse and relabel many popular image datasets


Can I download the images elsewhere?

Images.cv doesn't own any of the images, but you can find links on their respective datasets in proper places


How can I download the images?

You can download the images from the dataset page, there is a download button there for you to use and download the images in a zip file format


Why do you offer free image datasets?

We believe that everyone should have access to high-quality image datasets for their research and development projects


What is the quality of the images?

We try to provide the best quality images we can find, but we can't guarantee the quality of all images in the dataset as they come from different sources and are not always perfect quality images


What is a category hierarchy of an image dataset?

A category hierarchy is a way to organize images into categories and subcategories. It helps you find images more easily and quickly by grouping them together based on their content


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