AI comes further and further into the picture of Security with many applications such as automatically identifying and responding to attacks, camera surveillance, detecting humans and more to count. However, to apply AI, companies have to deal with many challenges and the key is adopting specific use cases. As handling with an ample amount of scenarios related to humans, the data labeling for security requires experienced annotators to be familiar with all requirements.
TagOn self-training systems with diverse situations allow annotators to deliver high-quality annotation results regardless of scenario. Moreover, with proven experiences working with AI Security products, TagOn can also ensure a streamlined process to maximize the labeling project outcomes and scale up the project to any size.