Trends in Labeling
Michael discusses the diverse data types users label with Label Studio, highlighting the rise of multimodal approaches in AI. The tool's flexibility allows for seamless integration of various data types, reflecting a shift towards a more interconnected labeling workflow.In this clip
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Practical AI
Trends in data labeling
Related Questions
What are the use cases of data labeling as discussed in the episode AI Today Podcast: An Overview of the Data Labeling Market and the clip Data Annotation Insights?
What are the use cases of data labeling as discussed in the episode AI Today Podcast: An Overview of the Data Labeling Market and the clip Data Annotation Insights?
Do you get any weak signals off of what people are doing with label studio in terms of the different domains of machine learning, AI, in terms of people's focus on NLP, or people's focus on audio or new things with computers vision, do you happen to see trends in that with new people coming into slack, wanting to do all of the sudden or something like that?