A dataset for simultaneous detection of oil well drill pipes and their coupling gaps

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Authors: Gu, Jing, Cheng, Yunqi, Nie, Ziwei
Cited by: 0

Abstract

The dataset consists of 500 masked oil well drilling pipe images and corresponding 500 masked images of gaps on drilling pipes. All images have RGB channels and are in JPEG format, and corresponding annotations are in plain text files. All of the corresponding masks were manually annotated with labelme-5.2.1 in the YOLOv11 PyTorch format.

Publication details

Journal / source
Mendeley Data
Publication date
14 January 2026
Document type
Dataset