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- Dashup
- Alternatives
The best alternatives to Dashup are Lionbridge AI, GAUSS AI, and Slater by Convergely. If these 3 options don't work for you, we've listed a few more alternatives below.
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AssemblyAI — Speech-to-Text API with superhuman accuracy
PromotedBest alternatives to Dashup
- Lionbridge’s 500,000+ annotators label your text, audio, image, and video data for machine learning. Using our custom-built platform, we can: 🤖 Create chatbot training data 🖼 Label images and video 😍 Build sentiment analysis datasets 👩💻 Source annotators from around the world 💬 Improve machine translation
- Gauss enables any person with a smartphone and an internet connection to be a data labeler, our mobile app has unlocked a new labeler ecosystem. Our Enterprise Portal allows for Collaborative Data Labeling for Internal Projects across multiple data formats.
- Schedule your Slack messages now, post them later
- With onetask, you can label AI training data on large-scale yourself. We combine Weak Supervision and Active Learning, so that you can easily find patterns in your data and only label records by hand that need human cognition.
- Current options have very severe limits because the compute is big. Diffgram enables you to run it on your local machines, server, own cloud server, etc. You get less lag, more privacy, and best of all - it's free!
- Percival is a declarative data query and visualization language. It provides a reactive, web-based notebook environment for exploring complex datasets, producing interactive graphics, and sharing results.
- Launching soon
- End-to-end MLOps platform that automates the process of AI implementation. ✅ Use you existing data to build an AI model! ✅ Save time labeling with the Auto-labeling technology! ✅ Develop your AI model in less than 3 days! ✅ Deploy your model with just a click!
- Mindkosh is the platform for curating, labeling and validating datasets for your AI projects.
