chandrabhuma/Indian_Traffic_VQA_Dataset
🧭 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… See the full description on the dataset page: https://huggingface.co/datasets/chandrabhuma/Indian_Traff
| Author / organization | chandrabhuma |
|---|---|
| License (as declared) | mit |
| Downloads | 199 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 October 2025 |
| Last updated at source | 3 November 2025 |
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