•1 min read•from Machine Learning
Passing Multidimensional time series to VLM [R]
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Hello everyone,
I am seeking insights on how to effectively pass a multidimensional time series dataset, along with corresponding environment videos, to a Vision-Language Model (VLM) for specific tasks. After reviewing the literature, I encountered two common methods: transmitting the time series data as text or using line charts converted into images. Unfortunately, neither approach yielded satisfactory results for my task. I would greatly appreciate any guidance or alternative strategies that could enhance the performance of my data integration. Thank you!
Hello all,
I have a multidimensional time series dataset and corresponding environment videos. I want to pass them to a VLM to perform some tasks. What is the best way to pass the time series data? From the literature review, I see there are two methods: pass time series as text and plot line charts and pass those as images.
Neither method performed well on my task. Appreciate any guidance.
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