To address these challenges, we have developed an alternative approach: a dataset-agnostic template solution for object detection training. It consists of carefully chosen and pre-trained models together with a robust training pipeline for further training. Such a solution works out-of-the-box and provides a strong baseline across a wide range of use-cases.[1] It can be used on its own or as a starting point for further fine-tuning for specific use cases when needed. This solution forms the backbone of Geti™ software, Intel’s computer vision platform for model development, and enables users of