Powerline Image Dataset (Infrared-IR and Visible Light-VL)

Published: 26 June 2019| Version 8 | DOI: 10.17632/n6wrv4ry6v.8


Despite a relatively crowded literature about detection of power lines for aircraft safety, the works are mostly optimized with very few training images; some even use artificially generated images. The IR imaging case is even less utilized. The reason is clearly the tremendous workload to obtain real images. With this demand in mind, the authors cooperated with the Turkish Electricity Transmission Company (TEIAS) to obtain video captures from actual aircrafts. Later, the authors made a thorough inspection over the video frames to isolate, capture and clean thousands of valuable images. In this content, 4000 IR and 4000 VL images are acquired and scaled to a size of 128x128. The IR folder contains 2000 IR images with power line and 2000 IR images with no power line. The VL folder contains 2000 VL images with power line and 2000 VL images with no power line. The IR and VL groups were deliberately constructed to contain both regular and especially confusing scenes. "TY" shows that there are no power lines in the images. "TV" shows that there are power lines in the images. The videos were captured from 21 different regions all over Turkey at different seasonal days. Due to varying background behavior, varying temperatures and weather conditions, and varying lighting conditions, the achieved positive set contains several difficult scenes where low contrast causes close-to invisibility for power lines. The original video resolutions were 576x325 for IR and full HD for VL, however, the captured frames were scaled down to smaller sizes and the effect of resizing was tested for various image sizes. An image size of 128x128 is sufficient for a consistently accurate power line recognition.


Steps to reproduce



Computer Vision, Image Processing, Machine Learning, Feature Selection, Feature Extraction, Line Detection, Image Classification, Pattern Recognition, Discrete Cosine Transform