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For cross-validation, compare the extracted script with the object frequency context data obtained using the YOLO deep learning model.
We then evaluate and test the developed model.
This can be evaluated by putting some videos into the test and checking if the correct metadata is extracted.
You can use it to develop a proof-of-concept video clip search program and integrate it into your environment.
You can continue to evolve your model through user feedback and performance monitoring, and then compare it to traditional search and recommendation methods to improve performance.
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