Sign inGet started
Dataset · Hugging Face

huilihuang413/EIDSeg

EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images EIDSeg is a large-scale post-earthquake infrastructure damage segmentation dataset collected from nine major earthquakes (2008–2023).This repository provides the raw dataset in CVAT XML format, along with the corresponding images organized by split.It is intended to be used together with our official codebase for parsing XML annotations and training segmentation… See the full description on the dataset page: https://huggingface.co/datasets/huilihuang413/EIDSeg.

Author / organizationhuilihuang413
License (as declared)mit
Downloads1.9K (as reported by Hugging Face)
Likes1
Created11 November 2025
Last updated at source11 November 2025
climate
Embed this entry
<iframe src="https://silytics.si/embed/item/f1f1df4f-5314-483f-8fef-f65507845010" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,905 now (-957 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images EIDSeg is a large-scale post-earthquake infrastructure damage segmentation dataset collected from nine major earthquakes (200 → EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images EIDSeg is a large-scale post-earthquake infrastructure damage segmentation dataset collected from nine major earthquakes (200

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.