📝💡🔎Selection of datasets for autopilots
Berkeley DeepDrive BDD100k - One of the largest datasets for autopilots. Includes more than 100 thousand videos with more than a thousand hours of driving recordings at different times of day and in different weather conditions
Baidu Apolloscapes - a dataset for recognizing 26 semantically different objects such as cars, buildings, pedestrians, bicycles, street lights, etc.
Comma.ai. - more than 7 hours of driving on the highway. The dataset contains information about car speed, GPS coordinates, acceleration, steering angle
Oxford’s Robotic Car - more than a hundred repetitions of one route around Oxford, filmed over the course of a year. The dataset contains different combinations of traffic, pedestrians, weather conditions, as well as road works
Cityscape Dataset - recordings of one hundred street scenes in fifty cities