Never spend O(n) to annotate data again. Fun and precision come free.
Project description
Imagine editing a picture layer by layer, not pixel by pixel, nor by splashing paint.
We can apply this idea to datasets.
Hover
makes data annotation blazing fast especially for engineers. You get:
-
A bird's-eye view: plot your dataset in 2D with tooltips
- Explore the dataset "from above" while being able to inspect every detail.
- Know how much data has been labeled for each category, and where they are in the whole picture.
-
Seamless switch between speed and precision
-
Facilitation of common supervision techniques
Check out @phurwicz/hover-binder for a complete list of demo apps.
:flags: Project News
- Jan 31, 2021 0.4.1 is now available. Check out the changelog for details :partying_face:
:rocket: Quickstart
You can try hover
right in your browser.
Option 1: notebook-like tutorials
- Explore and run the starter code examples.
Option 2: skip the code & jump into the
- This is the "label-it-all" demo above.
:package: Install
Python: 3.6+
OS: tested on Mac & Linux
To get the latest release version, you can use pip
:
pip install hover
Feel free to open an issue if you would like conda
or conda-forge
support.
:book: Resources
:bell: Remarks
Shoutouts
- Thanks to
Bokeh
becausehover
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 contributions are welcome :hugs: Especially feedbacks on where you find
hover
frustrating and want it fixed! ./requirements-dev.txt
lists recommended packages for developers.
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