Road Mark Detection

Road Mark Detection

Datasets

Road Mark Detection

File

Road Mark Detection

Use Case

Computer Vision

Description

The ROAD MARK Dataset is a curated collection of annotated images and videos, specifically focusing on detecting and classifying road markings and related objects

Road Mark Detection

About Dataset

In recent years, advancements in computer vision and deep learning have revolutionized the field of object detection, consequently enabling a wide range of applications in various domains. One crucial application is road safety, where accurate and efficient object detection plays a vital role in preventing accidents and improving traffic management. To address the challenges unique to this domain, researchers and developers have created specialized datasets tailored specifically for road-related object detection tasks.

Among these datasets, the ROAD MARK Dataset is a comprehensive and valuable resource for training and evaluating object detection models. Specifically, the ROAD MARK Dataset is a curated collection of annotated images and videos focusing on detecting and classifying road markings and related objects. It encompasses a diverse range of scenarios encountered on roads, including highways, urban streets, and rural areas, making it highly representative of real-world conditions.

Moreover, 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. Additionally, this dataset contains 2892 samples, which are correctly divided into three parts: Train, Valid, and Test.

For more details and other format follow this link: https://universe.roboflow.com/lr-tdx/road-mark

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Quality Data Creation

Guaranteed TAT​

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

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

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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