Semantic Damage Segmentation for Aircraft Engine Borescope Videos

What is it about?

Due to the extremely harsh environment, aircraft engines tends to have various internal damages. We use deep learning-based algorithms to detect and track the damages of aircraft engines from borescope videos, which is a vital and essential problem for the aviation industry. Our framework is the first work to achieve the real-time damage detection for aircraft engines with high accruacy.

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