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Mentions
Text axes for embedding plots: visualize your dataset by concepts like “night ↔ day” (oss, apache 2.0) Hey all, I work on LightlyStudio, an open-source tool for looking through and curating CV datasets. Embedding plots always bugged me a bit. You get nice clusters, but the x and y axes don’t actually mean anything. So we added text axes: you type a word or phrase for each end of the two axes and the points get placed by how well they match. Put “night” and “day” on x and “indoors” and “outdoors” on y, and you get four quadrants you can actually read. Then you can lasso a corner and see what’s in there. By default it uses MobileCLIP for images and Perception Encoder for video, but it works well with other multimodal embeddings like Gemma too. You can bring your own. - Repo: lightly-ai/lightly-studio - Docs: docs.lightly.ai It’s Apache 2.0. It’s still pretty fresh, so any feedback is really appreciated, good or bad.
Coming in the next LightlyStudio release! 🚀 ⭐ Star us on GitHub to stay up to date: lightly-ai/lightly-studio