Berkeley DeepDrive Dataset

The Berkeley DeepDrive (BDD) Dataset is a large collection of images and video data used for developing and testing autonomous vehicle technology. It captures diverse driving scenarios, including different weather conditions, times of day, and city environments. Researchers and engineers analyze this data to improve machine perception, such as recognizing objects, understanding traffic signals, and predicting the movements of other road users. The BDD Dataset helps ensure self-driving cars can navigate safely and reliably in real-world driving situations by providing a rich resource for training and evaluating artificial intelligence systems.