Data · dataset · 2026
Rope Topology Dataset for Enclosed Hole Detection and Junction Counting
Listed in Teesside University Research Data Repository
This dataset was constructed for the evaluation of rope topology analysis and junction counting methods based on enclosed topological holes.
Description
It contains 360 images of three rope materials, including hemp rope, cotton rope, and flat nylon rope. Five rope lengths, namely 0.7 m, 1.0 m, 1.3 m, 1.5 m, and 2.0 m, were considered.
Different rope configurations were generated under various rotation directions and revolution settings using a motor-driven box, after which the rope configurations were manually photographed. The dataset includes the original rope images, manually verified ground-truth hole counts, and quantitative evaluation data for different comparison methods. The evaluation data provide the numbers of true positives (TP), false positives (FP), and false negatives (FN) for each method, from which Precision, Recall, and F1-score can be calculated.
Read the rest (1 more)
The dataset is intended to support research on rope topology analysis, enclosed topological-hole detection, junction counting, deformable linear object perception, and vision-based structural measurement.
Links
Where it is published
- DOI doi.org/10.17632/xrbv2mww3r.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science · Engineering · Humanities · Image processing · Life Sciences · Social Science · Topology
- Inferred from text
- Image 65%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/xrbv2mww3r.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:field:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| concepts[field].anzsrc:field:490412 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Topology'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |