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README.md

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+🧭 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.
+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
+________________________________________
+🧩 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
+________________________________________
+⚖️ License
+You may distribute, modify, or use this dataset for non-commercial research purposes.
+Please give appropriate credit by citing this dataset.
+________________________________________
+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. 
+
+
+________________________________________
+🚀 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