Published July 1, 2024 | Version Version 1
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UAV Railroad Images for Segmentation and Obstacle Detection

  • 1. ROR icon Vellore Institute of Technology University

Description

UAV-RSOD dataset contains five different types of obstacles including person, boulder, barrel, branch, jerry can, and iron rod. This dataset supports the development and evaluation of computer vision models for railroad-related applications, such as autonomous train navigation, obstacle detection in railroad, railroad extraction and safety monitoring.  The DJI Phantom 4 PRO UAV Drone was used to take all the videos and images in the Indian Railways, Tiruchirapalli city of Tamilnadu, India.

Version 1: 315 Images with Labelling, Masking for Segmentation Process and without any Data Augmentation techniques applied

Version 2: 2002 Annotated Images with Data Augmentation techniques applied (Rotate, Flip, etc) for Obstacle Detection

Files

V1 UAV-RSOD_Dataset for Segmentation.zip

Files (1.7 GB)

Name Size
md5:a8623d1a7ca405b2604ee7ae3c36aab0
809.4 MB Preview Download
md5:0fcc2bcb3f7a8fcad96d493253fa3924
856.2 MB Preview Download

Additional details

Dates

Collected
2020-09-15