Data · dataset · 2026
USMT(Underwater Sonar Moving Target)
Listed in ScienceDB
The USMT (Underwater Sonar Moving Target) dataset is the first publicly available low-pixel forward-looking sonar (FLS) image dataset for underwater moving targets worldwide.
Description
The data was collected in an artificial lake in Qing County, Cangzhou, Hebei Province, China, capturing a 533-mm-calibre, 6-meter-long Autonomous Underwater Vehicle (AUV). The dataset comprises 21 video sequences with a total of 7,136 fully annotated FLS images.
Annotations are provided in LabelMe JSON standard for instance segmentation. The dataset includes both sector-shaped sonar images (632×792 pixels) and rectangular B-scan images (1,000×500 pixels). It is particularly suitable for developing small-target detection algorithms, investigating spatiotemporal fusion techniques for multi-frame target tracking, and benchmarking instance segmentation methods for underwater robotics applications.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.40992 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Fisheries sciences 68% · Image 75% · Video 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.40992 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3005 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |