Computer Vision

Computer Vision

Computer Vision, also known as CV, is the field of study that tries to develop techniques to help computers “see” and interpret the content of digital images such as photographs and videos.

Some industries that use computer vision are:

Medical: Systems examine MRIs, and X-rays in order to detect any abnormalities in the imagery that a medical professional might have missed.
Retail: Self-checkout, and detecting out of stock shelves.
Insurance: Companies use computer vision to conduct more thorough and consistent vehicle damage assessments. This allows for a reduction in fraud as well as streamlining the claims process. In turn, this decreases costs, which get passed to the consumer
Government: Systems can detect safety issues such as contraband in cargo, or illegal items transferred through airports. Further drones and satellites can use CV to detect abnormal patterns that can increase homeland security.

Moreover, in this category you will find a number of resources that expand on the use of CV and how it continues to progress and help humans.

Computer Vision

The CIFAR-10 dataset

The CIFAR-10 dataset comprises of 60000 32×32 shading pictures in 10 classes, with 6000 pictures for every class. The dataset is separated into five preparing clumps and one test bunch, each with 10000 pictures. The test cluster contains precisely 1000 haphazardly chose pictures from each class. The preparation clusters contain the rest of the pictures […]

Data Science Team 28 December 2019

The CIFAR-10 dataset

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