If you want to build and train your own custom computer vision models using your own proprietary imagery, LandingLens is a good choice. This cloud-based service uses domain-specific Large Vision Models (LVMs) and deep learning to help solve a range of problems in different industries. You can build and train your own LVMs using your own data for better performance and faster development. The service includes features like Get Insights, Accurate Results, Flexible Deployment, and Unlimited Scalability, as well as tools for efficient image labeling, one-click training, and detailed performance reports.
Another option is Roboflow, an all-in-one training and deployment service for computer vision models. It includes automated annotation tools, flexible deployment options and more than 50,000 pre-trained open-source models. Roboflow also includes AI-assisted labeling tools, an auto-annotate API for rapid annotation, and integration with frameworks like TensorFlow and PyTorch. It's good for developers and enterprises that want to simplify their computer vision work and get models into production rapidly.
If you want a broader data development foundation, check out Encord. It's designed for predictive and generative computer vision tasks, with tools for ingesting data, cleaning it, curating it, automatically labeling it and evaluating model performance. Encord also offers a range of annotation types, customizable workflows and model performance monitoring. It integrates with a range of storage and MLOps tools for a smooth workflow, and has strong security compliance.
And then there's Dataloop, a powerful AI development platform that combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It can handle a range of data types, including images, videos and text, and includes automated preprocessing and model deployment options. Dataloop is designed to facilitate collaboration, speed up development and maintain high security, so it's a good choice for developing and managing AI applications.