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A well-known car’s manufacturer decided to initiate a research and development project to produce self-driving cars in the near future. A team consisting of machine learning engineers and data engineers are supposed to produce a model by the end of the year. They should first attach a camera above the company’s cars to collect images of the environment around them. The cameras should take separate frames, and these frames are saved to train them in a model later. Then, they should implement a model where it could distinguish different object types such as “Trash bins”, “people”, “pavement” and many more on a pixel-level. Which SageMaker’s algorithm should they implement to successfully train their model on this task?