DATS_2022: A versatile indian dataset for object detection in unstructured traffic conditions.

ABSTRACT: Driver Assistance System has proved to be the best alternative to the autonomous vehicles in countries like India which has heavy and irregular traffic conditions. It is a challenging task for a machine to visually understand the traffic scenes in a complex environment. To develop a machine learning algorithm for such an environment, there is a need of a dataset that may provide the correct information of the traffic scene. The proposed dataset, DATS_2022, is a comprehensive dataset for object detection specific to Indian traffic scenario. The dataset consists of images captured using a high-resolution camera in an android phone. The images are annotated using a free, open-source tool. XML files for these annotations are generated and saved which are used to extract the labels for training

SUBMITTER: Paranjape BA 

PROVIDER: S-EPMC9309657 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature