Vehicle Image Captioning Dataset

The captions, following a specific question format, describe every object on the road, including:

• Vehicle Color: Detailed descriptions of the color of each vehicle.
• Windshield Presence: Information on whether the vehicle has a windshield.
• Door and Window Status: Status of doors and windows, whether they are open or closed.
• Vehicle Type: Classification of the type of vehicle (car, truck, motorcycle, etc.).
• Visible Wheels: Number of wheels visible in the image.
• Number Plate Details: Information on the presence and details of number plates.
• Logos or Brands: Identification of vehicle brands or logos.
• Vehicle and People Activity: Descriptions of any visible activities involving vehicles or people.
• Background Description: Contextual information about the scene’s background.

Features

• High-Resolution Images: Over 1000 high-resolution images captured across diverse Indian road scenes.
• Detailed Captions: Each image has captions describing objects from left to right.
• Varied Scenarios: Images cover day and night scenarios, varied distances, different backgrounds, and viewpoints.
• Geographical Diversity: Images sourced from various cities and regions across India.

Applications

• Image Captioning: Enhance models for generating descriptive captions for images.
• Object Detection: Improve algorithms for detecting and recognizing objects in road scenes.
• Autonomous Vehicle Navigation: Support research and development in autonomous vehicle navigation and scene understanding.
• Traffic Analysis: Aid in analyzing and managing traffic patterns.
• Urban Planning: Provide data for urban planning and infrastructure development.