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Autonomous vehicles are growing rapidly, in well-developed nations likeAmerica, Europe, and China. Tech giants like Google, Tesla, Audi, BMW, andMercedes are building highly efficient self-driving vehicles. However, thetechnology is still not mainstream for developing nations like India, Thailand,Africa, etc., In this paper, we present a thorough comparison of the existingdatasets based on well-developed nations as well as Indian roads. We thendeveloped a new dataset "Indian Roads Dataset" (IRD) having more than 8000annotations extracted from 3000+ images shot using a 64 (megapixel) camera. Allthe annotations are manually labelled adhering to the strict rules ofannotations. Real-time video sequences have been captured from two differentcities in India namely New Delhi and Chandigarh during the day and night-lightconditions. Our dataset exceeds previous Indian traffic light datasets in size,annotations, and variance. We prove the amelioration of our dataset byproviding an extensive comparison with existing Indian datasets. Variousdataset criteria like size, capturing device, a number of cities, andvariations of traffic light orientations are considered. The dataset can bedownloaded from here https://sites.google.com/view/ird-dataset/home

An Indian Roads Dataset for Supported and Suspended Traffic Lights Detection