A dataset for simultaneous detection of oil well drill pipes and their coupling gaps
Published: 14 January 2026| Version 2 | DOI: 10.17632/mggn62bghn.2
Contributors:
, , Description
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.
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Institutions
- Nanjing University
Categories
Computer Vision, Object Detection, Deep Learning