LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.
☆70Jul 31, 2024Updated last year
Alternatives and similar repositories for LF-YOLO
Users that are interested in LF-YOLO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of automatic computer-aided identification system to recognize different types of welding defects in radiographic images w…☆29Aug 2, 2021Updated 4 years ago
- Automatic defect recognition in X-ray testing using computer vision☆13Dec 8, 2018Updated 7 years ago
- Deep Learning Based Steel Pipe Weld Defect Detection☆106Dec 6, 2021Updated 4 years ago
- Radiographic image dataset for weld defects classification☆48Dec 13, 2022Updated 3 years ago
- Official implementation of the paper "MAENet: Boost Image-guided Point Cloud Completion More Accurate and Even" (Information Fusion 2025)☆16Jun 4, 2025Updated 10 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implemention of the paper "Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework"☆13Sep 23, 2021Updated 4 years ago
- Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors☆25Sep 17, 2024Updated last year
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆21Aug 20, 2024Updated last year
- This script is used to augment image data created using LabelMe-MIT.☆12Dec 23, 2021Updated 4 years ago