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Label data at scale. Fun and precision included.

Project description

Hover

Explore and label on a map of raw data.

Get enough to feed your model in no time.

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hover speeds up data labeling through embedding + visualization + callbacks.

  • all you need to supply is raw data and a vectorizer function.

Demo

:sparkles: Features

  • :telescope: A 2D-embedded view of your dataset for labeling, equipped with

    • Tooltip for each point and table view for groups of points.
    • Search widgets for ad-hoc highlight of data matching search criteria.
    • Toggle buttons that clearly distinguish data subsets ("raw"/"train"/"dev"/"test").
  • :microscope: Supplementary views to provide further labeling precision, such as

    • Advanced search view which can filter points by search criteria and provides stronger highlight.
    • Active learning view which puts a model in the loop and can filter by confidence score.
    • Function-based view which can leverage custom functions for labeling and filtering.

Check out @phurwicz/hover-binder for a list of demo apps.

:rocket: Quickstart

:package: Install

Python: 3.7+

OS: Linux & Mac & Windows

To get the latest release version: pip install hover

Starting on version 0.6.0, we are also on conda: conda install -c conda-forge hover

For Windows users, we recommend Windows Subsystem for Linux.

  • On Windows itself you will need C++ build tools for dependencies like umap-learn.

:book: Resources

:flags: Project News

  • Feb 12, 2022 version 0.6.0 is now available. Check out the changelog for details :partying_face:. Some tl-dr for the impatient:
    • you can now edit selections, like kicking points from current selection or updating cells on the fly.
    • you can now make cumulative selections.
    • SupervisableDataset no longer maintains lists of dictionaries, but does everything through dataframes.
    • active_learning now takes a VectorNet directly.
    • snorkel_crosscheck allows you to label and filter through functions. You can change those functions dynamically without having to replot!

:bell: Remarks

Shoutouts

  • Thanks to Bokeh because hover would not exist without linked plots and callbacks, or be nearly as good without embeddable server apps.
  • Thanks to Philip Vollet for sharing hover with the community even when it was really green.

Contributing

  • All feedbacks are welcome :hugs: Especially what you find frustrating and want fixed!
  • ./requirements-dev.txt lists required packages for development.
  • Pull requests are advised to use a superset of the pre-commit hooks listed in .pre-commit-config.yaml.

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