Overview

Introduction about Classifai

Data Annotation Platform for AI Training

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:

long hours of human workforce to label the data manually,
off-the-shelves toolkit which cannot fulfill the use cases needs.
frustration processes to convert data to supported format types for labelling work

We aim to solve these in Classifai to provide significant value to the data science workflow.

Features

Platform-agnostic
- Classifai is build with Java backend. As Java is platform-neutral, it is as simple as download the classifai uber jar file and run it with Java runtime.
Asynchronous API - Fast and speedy response
In-memory Java-based database
Conversion of conventional data types to preferred formats (For example: .pdf format to .png format)
Multi data types supported

Image

Document

Video

Tabular

Voice

jpg, JPEG, JPG

pdf

Coming soon...

png, PNG

tif, tiff

bmp

[Still WIP. Stay tune with these features coming up below]
- AI in the Loop - Deep Learning assistant for labelling task to reclaim valuable time for meaningful ML/DL tasks.
- Support labelling of more data types in demand - video, tabular and voice data
- Data management

Strengths of the tool

Scale data labelling operations to massive real world dataset
Cut costly data labelling services
Aesthetic and intuitive UI interface, to make the work fun to do!
Reclaim valuable time from inefficient data labelling, technical team can focus on more meaningful ML/DL tasks.