For robots, drones, or vehicles to achieve higher levels of autonomy, they need artificial intelligence based on reliable data. Companies working on machine learning projects must juggle research, development, analysis and other tasks connected with their core functions. Their in-house employees do not necessarily have the time for annotating data at the volumes required to train machine learning algorithms. Such work can also prove to be costly, since engineers and other team members tend to command a high rate of pay.
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