A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment

Zweiri, Yahya

A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment

Posted on 2024-01-23 - 11:02

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

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Huang, Xiaoqian; Sanket, Kachole; Ayyad, Abdulla; Naeini, Fariborz; Makris, Dimitrios; Zweiri, Yahya (2024). A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.6432548.v1

https://doi.org/10.6084/m9.figshare.c.6432548.v1

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