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Computer vision is a field of artificial intelligence that trains computers to identify, interpret, and track objects in imagery and video. The technology is driven by pattern recognition. It’s trained by feeding computer models thousands to millions of images with labeled objects. This allows the algorithms to establish a profile (e.g., color, shape) for each object to then identify the things in unlabeled images.
Thanks to advances in machine learning and neural networks, computer vision annotation has made great leaps in recent years and can often surpass the human eye in detecting and labeling certain objects. One of the driving factors behind this growth is the amount of data we generate that can be used to train computer vision models more accurately.
TagX is providing autonomous flying training data solutions with a wide range of image and video annotations for top aerial view in the images for drone mapping and imagery making drone training possible with highly accurate training data.
