What happens when a Data Scientist combines complex neural networks with classic ML (machine learning) models? Spoiler – the results are super interesting and fashionable!
When watching a movie or a TV series, we can understand from the content of the video who the main characters are. For example, they can appear for a long time in the video, be in the focus of the camera, wear branded clothing or even be celebrities. These are only a few examples of features that define the main characters. A new model relies on these features and more to address the main characters in the video and rank their clothing by importance of the characters.
What real world scenarios (such as detecting featured clothing in videos) have you used machine learning models for analysis and learning key insights?
