Fed alloy images to YOLOv3 network, detected the defects in the TEM videos, and tracked their number and size.

Calculated the generation and annealing and achieved high accuracy defects detection with 0.95 F1 and low latency.

This is the first deep learning project ever achieved for TEM videos that can be applied to research projects.