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If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later. - Source: dev.to / about 1 month ago
Lobe - Visual tool for building custom deep learning models
KopiKat - Generative image data augmentation tool preserving annotations. Enhance the precision of AI models without modifying the network structure.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Theneo - Build Stripe-like API docs in just a few clicks
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Analyzr - The simple, no-code solution for predictive analytics