The task is to detect the images containing the power lines from set of given visible and infrared images.
Image-based power line detection is highly important for threat avoidance when the aerial vehicles fly in low altitude. However, it is very challenging for the requirements of high detection rates, low false alarms and real-time application.
Given two set of images one containing powerlines and the other not containing the power lines. The task is to detect and classify the images as containing powerlines or not.
The Link to the Dataset- https://www.kaggle.com/c/recognizance-2/data
The Train Accuracy is 0.9455.
The Test Accuracy is 0.96615.
Here is a Screenshot of Test Accuracy.
