AI is transforming healthcare by arming practitioners with more information at the right times to make better decisions and fewer errors. Here’s how image annotation makes it ...
Computer Vision
Images and videos are both means to an end to annotate visual data. Each may have its own unique process but in the end individual frames are being annotated on a meta data level. ...
Image annotation holds great promise for these centuries-old industries that rely heavily on visual data and are ripe for AI innovation.
Your training data operations are like assembly lines: data is your raw material, and you have to get it through production steps to structure it for AI. You need skilled people ...
You need the right tool and workforce to curate high-quality video training datasets.
Why is artificial intelligence just now taking off? These three forces are fueling AI techniques to build real-life applications.
Some believe cloud robotics will be the future of AI and the next big disruptor in business.
Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.
Machines see the world through bounding boxes in order to make visual data meaningful, and that work can only be done by humans.
Augmented reality is here, in the workplace and in everyday life. For AR to truly succeed, it will require a heavy dose of imagination and a lot of data.
