The Moroccan Video Intelligent Transport System dataset for vehicle detection

Intelligent transportation systems (ITS) are composed of functionalities that aim to reduce traffic jams and detect anomalies. These functionalities include vehicle detection and classification that represent critical tasks and require a high degree of accuracy to ensure the extracted information's reliability. Therefore, we present a key data set related to the detection of vehicles in Morocco, nicknamed MoVITS. The data provided in this paper is collected using a stereo-based vision system, and it is useful for vehicle detection and classification by using different methods for many purposes. This data set is intended to support researchers, stakeholders, and the general public interested in ITS. The vehicle video dataset incorporated with deep learning, transfer learning, and fine-tuning can provide outstanding vehicle detection and classification results.