Best Data Labeling Software for Microsoft Azure

Find and compare the best Data Labeling software for Microsoft Azure in 2024

Use the comparison tool below to compare the top Data Labeling software for Microsoft Azure on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Diffgram Data Labeling Reviews
    Your AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling
  • 2
    Azure Machine Learning Reviews
    Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.
  • 3
    Appen Reviews
    Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.
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    NLP Lab Reviews

    NLP Lab

    John Snow Labs

    Generative AI Lab by John Snow Labs is a cutting edge platform that empowers enterprises to create, customize and deploy state of the art generative AI models. The lab offers a robust end-to-end system that simplifies integration of generative AI in business operations. It is accessible to all organizations and industries. The Generative AI lab offers a no code environment that allows users to create sophisticated AI without extensive programming knowledge. This democratizes AI, allowing business professionals, data scientist, and developers to collaborate and build models that can turn data into actionable insight. The platform is built upon a rich ecosystem that includes pre-trained AI models, advanced NLP capabilities and a comprehensive set of tools to streamline the process of customizing AI to specific business needs.
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