Question: I'm looking for an open-source solution that can help me prepare training data for computer vision and natural language processing models.

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Label Studio

If you're looking for an open-source tool to prepare training data for computer vision and natural language processing models, Label Studio is a good choice. It can be used for labeling a variety of data types, including images, audio, text, time series and video, and has features like customizable layouts, ML-assisted labeling and integration with cloud storage systems. It also has a powerful set of tools for data management and supports multiple projects and users, making it a good option for data scientists and companies of all sizes.

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Roboflow

Another good option is Roboflow, which is focused on computer vision models. It's got automated annotation tools, AI-assisted labeling and a variety of pre-trained models. Roboflow lets you search, curate and manage visual data and deploy models to scale in edge and cloud environments. It integrates with frameworks like TensorFlow and PyTorch and can be deployed to a variety of cloud services and edge devices.

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SuperAnnotate

If you're looking for an all-in-one tool for both computer vision and NLP, SuperAnnotate offers a broad platform with customizable workflows and project management tools. It can handle a variety of data types and has advanced AI and QA tools to help you ensure high-quality datasets. The platform also has a global marketplace for vetted annotation teams and offers detailed data insights and analytics, making it a good option for enterprise AI development needs.

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