Kirill Romanov Auto CV2

Kirill Romanov tells about his participation in AutoCV2 challenge in English. His solution got third place. In this video you will find out: Some tips and tricks for models speed training from scratch within limited time and space (hardware capacities) budget How to adapt picture augmentations to a specific dataset on the fly How to build a simple but efficient picture classification system that works surprisingly well across a different picture and video datasets The limitations and areas of improvement for the solution Presentation Find out about new competitions Find out about new machine learning training: VKontakte Facebook Telegram t. me, mltrainings