HLJ_MISDataset

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: chen weitao, zhang ning
DOI: 10.5281/zenodo.18654377
Cited by: 0

Abstract

HLJ_MISDataset, a large-scale remote sensing instance segmentation dataset specifically designed for mining land occupation analysis. The dataset comprises 2,616 high-resolution images encompassing 3,808 meticulously annotated instances across over 130 mineral types in Heilongjiang Province, China. Our analysis reveals significant challenges including irregular object geometries, heterogeneous background clutter, and substantial intra-category scale disparities.

Fields of Study & Subjects

Remote-Sensing Image Classification Advanced Neural Network Applications Remote Sensing and Land Use

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Dataset