FiftyOne provides a powerful fiftyone.core.plots framework that contains a variety of interactive plotting methods that enable you to visualize your datasets and uncover patterns that are not apparent from inspecting either the raw media files or aggregate statistics.
With FiftyOne, you can visualize geolocated data on maps, generate interactive evaluation reports such as confusion matrices and PR curves, create dashboards of custom statistics, and even generate low-dimensional representations of your data that you can use to identify data clusters corresponding to model failure modes, annotation gaps, and more.
What do we mean by interactive plots? First, FiftyOne plots are powered by Plotly, which means they are responsive JavaScript-based plots that can be zoomed, panned, and lasso-ed. Second, FiftyOne plots can be linked to the FiftyOne App, so that selecting points in a plot will automatically load the corresponding samples/labels in the App (and vice versa) for you to visualize! Linking plots to their source media is a paradigm that should play a critical part in any visual dataset analysis pipeline.
The builtin plots provided by FiftyOne are chosen to help you analyze and improve the quality of your datasets and models, with minimal customization required on your part to get started. At the same time, data/model interpretability is not a narrowly-defined space that can be fully automated. That’s why FiftyOne’s plotting framework is highly customizable and extensible, all by writing pure Python (no JavaScript knowledge required).
References:
https://docs.voxel51.com/user_guide/plots.html
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