:fire: One of the most comprehensive open-source data annotation platform.
Classifai is one of the most comprehensive open-source data annotation platform.
It supports the labelling of various data types with multi labelled outputs forms for AI model training.
Figure below show how Classifai fits in the machine learning workflow.
It enables the labelling of raw data imported from data source.
The labelled data can then channel into training environments for supervised / semi-supervised learning.
Data labelling tasks are challenging due to a few factors:
We aim to solve these in Classifai by providing significant value to the data science workflow.
Images | Documents | Video | Tabular | Voice |
---|---|---|---|---|
jpg, JPEG, JPG | Coming soon... | Coming soon... | Coming soon... | |
png, PNG | ||||
tif, tiff | ||||
bmp | ||||
webp |
Classifai support bounding box and segmentation annotation for now.
Click on the sub-category accordingly for the desired operation.
Bounding Box Annotation
Segmentation Annotation
Classifai is a web-based application which can opens in either Chrome, Firefox browser
or any Chromium-based browser such as Opera and Vivaldi.
(Note: Internet Explorer & Microsoft Edge is not supported)
There are two ways to open classifai in the browser
Conversion of files
We put into great thought into how data scientists build modelling with data.
When building use cases such as Optical Character Recognition (OCR) or medical related use cases,
often the raw data formats such as pdf/tif were not commonly used in the modelling.
Let alone data labellers were facing a hard time trying to convert these files into supported formats.
Classifai comes with a Conversion Launcher.
Currently supporting the conversion of format of pdf/tif to png/jpg.
Classifai supports the following Operating Systems.
Installation comes in distribution built with Java for each operating system.
The installation packages and formats are listed below.
Operating System | Supported Version | Installation package format |
---|---|---|
Windows | 7, 8, 10 | msi |
Ubuntu | 18 LTS, 20 LTS | deb |
Centos | 7, 8 | rpm |
Mac | 10 | pkg |
Alternatively, download the uber jar file and run with Java JDK/JRE 14.
java -jar classifai-uberjar-dev.jar --unlockdb --port=9999
Section | Description |
---|---|
Website | Official Website |
Documentation | Full API documentation and tutorials |
Blogs | Technical Posts |
Discord | Community Support for Classifai Tool |
AI from the Data Perspective | Self-Paced Training to learn about Data Annotation and the use of Classifai |
For custom functionality development support, enterprise support and other related questions,
contact the team at [email protected]:smiley:
Welcome to join! We have bi-weekly meeting to discuss about features, roadmaps and issues we are working on.