Customized

Object Detection

If you try to improve an AI model yourself by retraining it with new images, you’ll probably end up with an even worse model than before. The reason is that it might forget some of its original knowledge. We have a stack which makes it possible to retrain models for improving their inference performance for customized use cases on private grounds, while retaining its original reliability. For the labeling task, our annotators always label remotely over a secured connection to the stack installed locally on your company server, so that you never have to share your dataset. We are still looking for a partner OEM.