Training deep neural networks requires data. Lots of data. And depending on the AI architecture at hand, that data isn’t of much use if it isn’t labeled, which takes time — particularly when you’re juggling corpora containing hundreds of thousands of objects.

To ease the burden on data annotators and data scientists alike, Intel is released a new program in open source — — that’s built to speed up annotation of the video and image samples used to train computer vision algorithms.

“In order to accelerate this process within the realm of Computer Vision, [we] developed a program called [CVAT],”

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