If you're looking for a data labeling tool with customizable layouts and templates, along with ML-assisted labeling features to help you work faster, Label Studio is a good option. This adaptable tool can handle a range of data types, including images, audio, text and video, and can be used to generate training data for computer vision, natural language processing, speech and video models. It has customizable layouts and templates, ML-assisted labeling, and integration with cloud storage systems like S3 and GCP. It also has a data manager with more advanced filtering and support for multiple projects and users.
Another option is SuperAnnotate, an end-to-end enterprise platform for training, evaluating and deploying AI models with high-quality training data. It has a customizable interface to accommodate a wide range of AI tasks and includes advanced AI, QA and project management tools. With data integration, dataset creation, model evaluation and deployment features, SuperAnnotate helps ensure AI development is efficient and of high quality while meeting industry data security and privacy standards.
Encord is another option. It's a full-stack data development platform for building predictive and generative computer vision applications. With tools for data ingestion, cleaning, curation and automated labeling, Encord accelerates labeling and data quality. It integrates with a variety of storage and MLOps tools and has strong support to help accelerate AI development lifecycles.
For those focused on computer vision, Roboflow is an all-in-one platform for training and deploying models. It has automated annotation tools, AI-assisted labeling and a large library of pre-trained models. With strong project management tools, secure access controls and SOC2 and HIPAA compliance, Roboflow is a good option for developers and enterprises looking to streamline their computer vision work and deploy models quickly.