If you're seeking a replacement for Encord, Roboflow is another top option. It's an end-to-end platform for training and deploying computer vision models, with automated annotation tools and a range of deployment options. Roboflow lets you search, curate and manage visual data with filtering, tagging and semantic search. It also has AI-assisted labeling tools and an auto-annotate API for fast labeling. The service integrates with common frameworks and cloud services, so you can deploy models at scale in edge and cloud environments.
Another good choice is Label Studio, a flexible data labeling tool that works with images, audio, text and video. It has customizable layouts and templates, ML-assisted labeling and integration with cloud storage systems. Label Studio is open-source and free, with an enterprise version that adds more features. It can handle multiple projects and users, so it's good for data scientists and companies large and small.
Dataloop is another good option, an all-in-one AI development platform with data curation, model management, pipeline orchestration and human feedback. It has features like automated preprocessing, embeddings for similarity detection and a marketplace to tap into existing models and pipelines. Dataloop has strong security controls and supports a variety of unstructured data, so it's a good choice for those who want to improve collaboration and speed up AI development.
Last, SuperAnnotate is an end-to-end platform for training, evaluating and deploying LLM, CV and NLP models. It pulls data from local and cloud storage and has a customizable interface for a variety of GenAI tasks. SuperAnnotate has advanced AI, QA and project management tools, and it taps into a global marketplace of vetted annotation teams. The service is designed to protect data security and privacy, following industry standards and frameworks, so it's a good choice for those who need high-quality AI development.