The product, called LandingLens, allows non-specialists to create their own object recognition models using a drag-and-drop interface. It does not require complex programming skills or experience with artificial intelligence.
LandingLens is designed to solve a common problem faced by companies looking to implement artificial intelligence: the lack of AI experts in their organizations. With LandingLens, users can upload images and label them using a simple interface. The platform then generates a proprietary object detection model based on these labels, which can be used to identify and track objects in new images. It also includes features such as automated model setup and deployment, making it easy for users to get started with AI.
One of the key features of LandingLens is its ability to transfer learning from existing models. This means that users can start with pre-trained models and customize them to meet their specific needs, instead of training a model from scratch.
The goal of Landing AI with LandingLens is to make artificial intelligence more accessible to businesses of all sizes and industries. The company believes that by democratizing the process of building AI models, it can help companies uncover new opportunities and improve their operations.
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