At Mobileye, we foster a hybrid-friendly environment, combining work from office and home.
About Mobileye Data Annotation (Perfects) department High-quality labeled datasets for supervised and semi-supervised machine learning algorithms are required for training, testing, benchmarking, research, and exploration of the algorithms. As those are usually difficult and expensive to produce because of the large amount of time needed to label the data, and with the fact that the source of the datasets is captured by proprietary Mobileye cameras and fusion sensors, we built and perfect a process and an operation to deploy, annotate, label, and then manage and consume large volumes of big data.
Perfects Department Goals: The role of the Data Annotation department is to provide annotated images, videos, and maps for the Algorithms and Validation teams as well as tier1 (car manufacturers and makers) according to the client’s requirements The labeling work is done by Mobileye workers within the OEM\car manufacturer\mapping service provider partner facilities, as well as in Mobileye local offices in a hybrid mode under the supervisions of in-house, local staff To increase productivity, streamline the work and gain focus, the department is divided into technologies. Each one is specified and specializes in a specific area like vehicles, pedestrians, traffic signs, traffic lights, visual road marks, drivable paths, crosswalks, visual landmarks, etc. The department owns the whole process. Starting from understanding the customer needs, compiling set of rules, building the process, procedure, and methodology, deploying the task, monitoring the process, striving to improve quality and productivity, providing coherency, reliably and up-to-date status, and report outs to stakeholders and retrospective.
Read more about Mobileye Road Experience Management, REM™ here: https://www.mobileye.com/technology/rem/