If you're looking for LandingLens alternatives, Roboflow is a good place to start. It's an end-to-end platform for training and deploying computer vision models, with automated annotation tools, robust deployment choices and a lot of tools to make development easier. The service can be integrated with frameworks like TensorFlow and PyTorch and cloud services like AWS and Azure, so it can be used in a variety of situations. It also comes with project management tools, access controls and compliance with standards like SOC2 and HIPAA.
Another good alternative is Encord, a full-stack data development platform for building predictive and generative computer vision models. It includes tools for ingesting data, cleaning it, curating it, automatically labeling it and evaluating model performance. With tools like Annotate for automated labeling and Active for monitoring model performance, Encord tries to keep things moving smoothly and ensure training data is high quality. It's certified for SOC2, HIPAA and GDPR compliance, so it's good for enterprise customers.
Label Studio is another option. It's a flexible data labeling tool that can handle images, audio, text, time series and video data, and it can be used to create training data for many different AI models. The service offers customizable layouts, ML-assisted labeling, integration with cloud storage and support for multiple projects. Label Studio is open-source and free, so it's available to anyone.