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A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment

  • Xiaoqian Huang (Creator)
  • Kachole Sanket (Creator)
  • Abdulla Ayyad (Creator)
  • Fariborz Baghaei Naeini (Creator)
  • Dimitrios Makris (Creator)
  • Yahya Zweiri (Creator)

Dataset

Lay Summary

Event-based Segmentation Dataset (ESD), a high-quality 3D spatial and temporal dataset for object segmentation in an indoor cluttered environment. ESD comprises 145 sequences with 14,166 RGB frames that are manually annotated with instance masks. Overall 21.88 million and 20.80 million events from two event-based cameras in a stereo-graphic configuration are collected, respectively.

MATLAB source code repository:
https://github.com/yellow07200/ESD_labeling_tool
Date made available2024
Publisherfigshare

Keywords

  • Computer Engineering
  • Autonomous Vehicles

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