DriveIndia: An Object Detection Dataset for Diverse Indian Traffic Scenes

• URL: http://arxiv.org/abs/2507.19912v4
• Date: Tue, 26 Aug 2025 06:55:39 GMT
• Title: DriveIndia: An Object Detection Dataset for Diverse Indian Traffic Scenes
• Authors: Rishav Kumar, D. Santhosh Reddy, P. Rajalakshmi,
• Abstract summary: DriveIndia is a large-scale object detection dataset purpose-built to capture the complexity and unpredictability of Indian traffic environments.<n>The dataset contains 66,986 high-resolution images annotated in YOLO format across 24 traffic-relevant object categories.
• Score: 0.3186130813218338
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We introduce DriveIndia, a large-scale object detection dataset purpose-built to capture the complexity and unpredictability of Indian traffic environments. The dataset contains 66,986 high-resolution images annotated in YOLO format across 24 traffic-relevant object categories, encompassing diverse conditions such as varied weather (fog, rain), illumination changes, heterogeneous road infrastructure, and dense, mixed traffic patterns and collected over 120+ hours and covering 3,400+ kilometers across urban, rural, and highway routes. DriveIndia offers a comprehensive benchmark for real-world autonomous driving challenges. We provide baseline results using state-of-the-art YOLO family models, with the top-performing variant achieving a mAP50 of 78.7%. Designed to support research in robust, generalizable object detection under uncertain road conditions, DriveIndia will be publicly available via the TiHAN-IIT Hyderabad dataset repository https://tihan.iith.ac.in/TiAND.html (Terrestrial Datasets -> Camera Dataset).

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