Roboflow is a full-stack platform that offers automated annotation tools, pre-trained models and AI-assisted labeling. It lets you manage and deploy models, too, with support for more than 50,000 open-source models. Roboflow works with several frameworks like TensorFlow and PyTorch, and can deploy to edge and cloud environments. That makes it a good choice for developers and enterprises.
Another powerful option is Encord, which offers a full-stack data development platform for building predictive and generative computer vision applications. Encord includes tools for automated labeling, data ingestion, cleaning, curation and model performance evaluation. It's designed to be secure and integrates well with storage and MLOps tools, so you can keep the workflow moving.
If you want a cloud-based option, LandingLens could be a good fit. It uses Large Vision Models and deep learning to tackle a broad range of computer vision challenges across different industries. The platform includes a Label Book for fast image labeling, one-click training and detailed performance reports, so you can easily manage and optimize your models.