Cooperamos UJI pipes dataset
收藏Zenodo2025-07-18 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.15792141
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资源简介：
Underwater Pipeline Dataset (YOLO Segmentation Format)
Dataset Overview
This dataset contains annotated underwater images of pipeline components, designed for robotics applications such as subsea inspection, maintenance, and navigation. The dataset was obtained from Roboflow Universe - Yellow Pipes v4.
Labels & Classes
The dataset includes the following object classes, each represented with pixel-accurate segmentation masks:
tpipe: T-junctions in pipelines (where three pipes connect in a "T" shape).
lpipe: Pipe elbows or bends (usually at 90° or 45° angles).
coupler: Pipe couplers or connectors joining two straight pipe segments.
pipe: Straight pipe sections without visible joints or bends.
Annotation Format
YOLO Segmentation:Each image has an associated .txt file with segmentation label data in YOLO format.
Each line represents one object instance.
The first value is the class ID (0 = tpipe, 1 = lpipe, 2 = coupler, 3 = pipe).
The remaining values are normalized segmentation points describing the object’s outline as polygons.
Images:Supplied in standard image formats (e.g., .jpg, .png).
Example segmentation label line (YOLO format):
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Zenodo创建时间：
2025-07-18
