In computer vision, renaming classes, combining classes, and handling class imbalance can be tricky and time-consuming. We walkthroughs strategies to more easily improve the performance of your object detection models through class management. We also demonstrate the performance difference an example YOLO model has when trained on balanced vs unbalanced classes as an example.
In this video, we make use of Roboflow Pro's Modify Classes features. Get access to Roboflow Pro here: https://roboflow.com/sales
We've written about class management here as well: https://blog.roboflow.com/introducing...
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