Significance of Training Data for Self-Driving Cars (Computers - Information Technologies)

Item ID 132776684 in Category: Computers - Information Technologies

Significance of Training Data for Self-Driving Cars


Training a new driver is straightforward and makes them practice until they can master basic skills well enough to pass a driver's license exam. But there are no such tests for Self Driving Cars, leaving it up to developers to decide when their technology is safe enough to deploy.
Collecting this data requires using data other innovators make available or doing it yourself and scaling the process. Larger autonomous car developers deploy fleets of test vehicles to capture data. Unfortunately, collecting all this data in-house using a limited fleet of test vehicles isn’t sufficient. Test vehicles typically operate in limited geographies, such as a small group of cities, to start.
At TagX, we combine technology with human care to provide image annotations and video annotations with pixel-level accuracy. Our data labelers maintain quality while processing & labeling the image data which can be used efficiently for various AI and ML initiatives.


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Last Update : Oct 26, 2023 2:32 AM
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Item  Owner  : Prashi Ostwal
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2024-06-03 (0.435 sec)