---
license: mit
task_categories:
- visual-question-answering
language:
- en
tags:
- Traffic_Signal_Recognition
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: image_name
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: ' traffic_sign'
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 159624173.688
    num_examples: 3472
  - name: test
    num_bytes: 39973129.0
    num_examples: 869
  download_size: 193968286
  dataset_size: 199597302.688
---

🧭 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.
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📦 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
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🧠 Task Definition
Given an image of a traffic signboard and a related question, the model must predict a short text answer.
Example:
image_name	question	answer
imag_00001.jpg	What does this sign indicate?	Speed Limit
img_00002.jpg	What does this sign show?	Stop
img_00003.jpg	Is U-turn allowed here?	No
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🧩 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
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🧰 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
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⚖️ License
You may distribute, modify, or use this dataset for non-commercial research purposes.
Please give appropriate credit by citing this dataset.
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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. 


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🚀 Future Work
Future releases will include:
•	Regional signboard subsets (state-specific)
•	Video-based question answering
•	Multilingual question support (English + Hindi)
________________________________________

👥 Contributors
🧠 Data Curators
🧩 Chandra Mohan Bhuma
🧩 CH.V.M.S.N. Pavan Kumar
🧩 T. Krishna Chaitanya
🧩 Miriyala Suneel

📷 Data Collectors
📸 Perumalla Himasri
📸 Vallapuneni Venkata Siva Kumar
📸 Ratna Seethal Saripalli
📸 Somanapalli Hindu