This article presents TRANSSET, a comprehensive dataset of drone-captured imagery designed to advance traffic detection and vehicle classification research. The dataset consists of over 4,700 high-res
The problem statement is to develop an algorithm for detecting autorickshaws in images and drawing bounding boxes around them. The challenge is to accurately detect the autorickshaws despite variation
DATS_2022 is a dataset that covers the images from Indian roads to capture the unstructured Indian traffic scenario. The dataset contains more than 10,000 images. A mix of photo and video mode of the
UIT-Drone7 expands upon UIT-Drone4 with additional object categories, increasing its complexity and applicability. Collected and labeled by UIT, this dataset features a wide range of traffic-related o
