Road Mark Detection Dataset

Road Mark Detection Dataset

Datasets

Road Mark Detection Dataset

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Road Detection Dataset

Use Case

Road Detection Dataset

Description

Explore the ROAD MARK Dataset designed to improve road safety with high-quality annotated images and videos.

Road Mark Detection Dataset

Description:

The ROAD Dataset is designed to improve road safety through accurate and efficient object detection. This dataset is a curated collection of annotated images and videos focusing on detecting and classifying road markings and related objects. It covers a wide range of scenarios, including highways, urban streets, and rural areas, ensuring high representation of real-world conditions. The dataset includes various types of road markings such as lane lines, arrows, pedestrian crossings, speed limit signs, and other relevant objects like traffic lights and barriers.

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Key Features:

  • Comprehensive Annotations: Includes detailed annotations for diverse road markings and related objects.
  • Varied Scenarios: Captures images and videos from different road environments to ensure robustness.
  • High-Quality Data: Provides high-resolution images and videos for precise object detection.

Applications:

  • Traffic Management: Enhances traffic flow analysis and management.
  • Accident Prevention: Aids in the development of advanced driver-assistance systems (ADAS) to reduce accidents.
  • Smart City Solutions: Supports the creation of intelligent transportation systems in urban planning.

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ISO 9001:2015, ISO/IEC 27001:2013 Certified

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HIPAA Compliance

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