If you're looking for a more comprehensive system to handle big data sets of visual data, Roboflow is a great option. The service lets you search, curate and manage visual data with filtering, tagging and semantic search. It also has tools to let you label data with AI assistance and use pre-trained models, and it can be integrated with TensorFlow and PyTorch frameworks. Roboflow can run in the cloud or edge computing environment, and it has security controls, too, so it's good for developers and enterprises.
Another contender is Dataloop, which combines data curation, model management, pipeline orchestration and human feedback to speed up AI development. It can handle a range of unstructured data, including images and videos, and offers automated preprocessing and embeddings for similarity detection. Dataloop's full suite and strong security controls, including GDPR and SOC2 compliance, make it a good choice for companies that want to improve collaboration and simplify their development process.
If you're looking for a service geared specifically for predictive and generative computer vision work, Encord has tools for ingesting, cleaning, curating and automatically labeling data. Its tools include Annotate for different types of annotation, Active for monitoring model performance, and Index for data management and exploration. Encord's secure environment and integration with different storage and MLOps tools means a smooth workflow, and it's good for teams that build and manage many different AI models.