ArticleScientific data2024
RailFOD23: A dataset for foreign object detection on railroad transmission lines.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Deep Learning-Driven Pose Extraction and Spatiotemporal Refinement for Human Detection and Distance Estimation on Railway Tracks with Thermal Imaging.Sensors (Basel, Switzerland) · 2026Article
- FBENet: A Highway Road Debris Detection Network Based on Frequency-Aware Bidirectional Feature Fusion and Efficient Attention Enhancement.Sensors (Basel, Switzerland) · 2026Article
- Rail-BEV: A LiDAR-Centric and Sensor-Aware BEV Perception Framework for Long-Range Railway Obstacle Detection.Sensors (Basel, Switzerland) · 2026Article
- Foreign object detection in power transmission lines using SESYOLO.Scientific reports · 2026Article
- A foreign object detection dataset and network for electrified railway catenary systems.Scientific reports · 2026Article
- Lightweight SCL-YOLOv8: A High-Performance Model for Transmission Line Foreign Object Detection.Sensors (Basel, Switzerland) · 2025Article
- Research on Deep Learning-Based Multi-Level Cross-Domain Foreign Object Detection in Power Transmission Lines.Sensors (Basel, Switzerland) · 2025Article
- YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences.Sensors (Basel, Switzerland) · 2025Article
- Detection of Human Traffic Controllers Wearing Construction Workwear via Synthetic Data Generation.Sensors (Basel, Switzerland) · 2025Article
- EBR-YOLO: A Lightweight Detection Method for Non-Motorized Vehicles Based on Drone Aerial Images.Sensors (Basel, Switzerland) · 2025Article
- FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n.Sensors (Basel, Switzerland) · 2024Article
- An Improved YOLOv8-Based Foreign Detection Algorithm for Transmission Lines.Sensors (Basel, Switzerland) · 2024Article
- Fractional B-Spline Wavelets and U-Net Architecture for Robust and Reliable Vehicle Detection in Snowy Conditions.Sensors (Basel, Switzerland) · 2024Article
- A novel LVPA-UNet network for target volume automatic delineation: An MRI case study of nasopharyngeal carcinoma.Heliyon · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
Artificial intelligence models play a crucial role in monitoring and maintaining railroad infrastructure by analyzing image data of foreign objects on power transmission lines. However, the availability of publicly accessible datasets for railroad foreign objects is limited, and the rarity of anomalies in railroad image data, combined with restricted data sharing, poses challenges for training effective foreign object detection models. In this paper, the aim is to present a new dataset of foreign objects on railroad transmission lines, and evaluating the overall performance of mainstream detection models in this context. Taking a unique approach and leveraging large-scale models such as ChatGPT (Chat Generative Pre-trained Transformer) and text-to-image generation models, we synthesize a series of foreign object data. The dataset includes 14,615 images with 40,541 annotated objects, covering four common foreign objects on railroad power transmission lines. Through empirical research on this dataset, we validate the performance of various baseline models in foreign object detection, providing valuable insights for the monitoring and maintenance of railroad facilities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.