Indian Traffic VQA Dataset
Description
🧠Overview Indian Traffic VQA is a real-world Visual Question Answering (VQA) dataset focusing on Indian road traffic signboards. The dataset is designed for training and evaluating Vision-Language Models (VLMs) and VQA systems in the traffic and transportation domain. This dataset bridges a gap between real-world Indian traffic conditions and machine understanding — ideal for research in autonomous driving, smart city AI, and traffic sign recognition under natural environments. 📦 Dataset Summary • Images: 1,085 real-world traffic signboard images • Questions: 4,341 unique questions • Answers: Short, ground-truth textual responses • Source: All images were collected using a mobile phone in real Indian road environments • Format: .csv file with the following columns: o image_name — name of the image file o question — text-based query o answer — corresponding ground-truth answer ________________________________________ 🧠Task Definition Given an image of a traffic signboard and a related question, the model must predict a short text answer. 🧩 Applications • Visual Question Answering (VQA) • Vision-Language Model (VLM) Fine-tuning • Multimodal classification of traffic signs • Dataset for benchmarking model reasoning in domain-specific visual data 🧰 Data Collection Details • Captured in diverse Indian traffic conditions (urban, rural, highways) • Includes varying lighting, occlusions, and view angles • All images are real photographs, not synthetic The .zip file contains all the 1085 images with 512x512 resolution. There are two .csv files attached. traffic_vqa_1085.csv contains one question and one answer, traffic_vqa_4341.csv contains multiple questions and answers per image. The first .csv file can be used for low resource computational environment.
Files
Steps to reproduce
The dataset is prepared by capturing the images using a mobile phone. The images are collected near Bapatla, and Chirala covering both rural and urban environments. Images are taken in a more casual and realistic way in order to mimic the challenge of recognizing the objects in real time.
Institutions
- Bapatla Engineering College