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

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.

尽管关于飞机安全中电力线检测的文献相对丰富，但这些研究工作大多是在训练图像数量极少的条件下进行优化的；其中一些甚至使用了人工生成的图像。红外成像案例的使用更是寥寥无几。其原因显而易见，获取真实图像的工作量巨大。鉴于此需求，作者们与土耳其电力传输公司（TEIAS）合作，从实际飞机上获取了视频捕捉资料。随后，作者们对视频帧进行了彻底的检查，以隔离、捕捉和清洗数千张珍贵的图像。

在此内容中，收集了4000张红外图像和4000张可见光图像，并按128x128的大小进行了缩放。红外文件夹包含2000张带有电力线的红外图像和2000张不带电力线的红外图像。可见光文件夹包含2000张带有电力线的可见光图像和2000张不带电力线的可见光图像。红外和可见光组被特意构建，旨在包含常规场景以及特别容易混淆的场景。"TY"表示图像中不存在电力线。"TV"表示图像中存在电力线。

视频资料是在土耳其全国21个不同地区、不同季节的日子里捕捉的。由于背景行为、温度和天气条件以及光照条件的多样性，所获得的正样本集中包含了多个难以处理的场景，其中低对比度导致电力线几乎难以辨认。原始视频的分辨率分别为红外图像576x325和可见光图像全高清，然而，捕捉到的帧被缩放到较小的尺寸，并对不同图像尺寸的缩放效果进行了测试。128x128的图像尺寸足以保证对电力线识别的持续准确性。

搜集汇总

背景与挑战

背景概述

该数据集是一个包含8000张图像（4000张红外和4000张可见光）的电力线检测数据集，专为飞机安全设计。图像来自土耳其不同地区的实际飞行视频，涵盖了多样化的环境和天气条件，适用于计算机视觉和机器学习任务。