Рет қаралды 72
Training dataset health and overall conditions are often not the focal points for many computer vision (CV) teams. In SuperAnnotate's experience, when exploring ways of improving model performance, CV teams will most likely opt for solutions like tuning hyper-parameters rather than exploring datasets for flows.
SuperAnnotate tried taking a data-centric view and seeing what impact that would have on its computer vision model’s performance.
This webinar shows you state-of-the-art methods for getting the most out of training data and observing the impact that will have on the model’s performance.
Follow SuperAnnotate:
🔳 Website: www.superannot...
🔳 LinkedIn: bit.ly/3uwqNc3
🔳 X: bit.ly/3iLK9Y1
🔳 Facebook: bit.ly/3BilmRL