Computer vision database

How do I get data for computer vision?

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information..

What is computer vision dataset?

A computer vision dataset is composed of “samples”, which are images or video. [1] .
A computer vision machine learning algorithm will be trained on a “ground-truth dataset” which is a dataset but with metadata such as labels and drawn boxes indicating what's in the images (see image below..

What is the largest computer vision dataset?

IMDB- Wiki - This dataset is the largest dataset available publicly.
It contains more than 500,000+ images of human faces with gender, age, and name.
Berkeley Deep Drive - The BDD11.

1. K is the largest varied driving video collection, with 100,000 videos annotated for ten different autonomous driving perception tasks
._{Jan 4, 2023}

What kind of data does computer vision use?

For your computer vision model, the data type can be images, videos, or DICOMs.
No matter the type, the data quality can be considered good when it covers a wide range of possible scenarios and edge cases (i.e. it is representative of the problem space)._{Feb 13, 2023}.

1. K is the largest varied driving video collection, with 100,000 videos annotated for ten different autonomous driving perception tasks
._{Jan 4, 2023}