NITCAD — An object detection, classification and stereo vision dataset for autonomous navigation in Indian roads

An example image from NITCAD dataset where you can observe the lack of lanes and dividers.
NITCAD — An object detection, classification and stereo vision dataset for autonomous navigation in Indian roads by Namburi GNVV Satya Sai Srinath, Athul Zac Joseph, S Umamaheswaran, Ch. Lakshmi Priyanka, Malavika Nair M, Praveen Sankaran is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Based on a work at https://www.sciencedirect.com/science/article/pii/S187705092030987X?via%3Dihub%3C/a%3E

Dataset Specifications

Data is collected in various rural and urban areas in Kerala state.
There are 7 classes in NITCAD object dataset. From left to right: Car, Bus, Pedestrian, Two wheeler, Truck, Van and Auto rickshaw.
Some of the statistics of NITCAD object dataset. Left: Total number of object present per class. Right: Total number of images having a specific class. One conclusion is — Car, Autos and Two wheelers are most common.
An example image pair from NITCAD stereo vision dataset.

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