Overview

Introduction about Classifai

Data Annotation Platform for AI Training

Classifai is one of the most comprehensive open-source data annotation platforms. It supports the labeling of various data types with multi-labeled outputs formats for AI model training.

The figure below shows how Classifai fits in the machine learning workflow. It enables the labeling of raw data imported from the data source. The labeled data can then channel into training environments for supervised / semi-supervised learning.

Data labeling tasks are challenging due to a few factors:

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

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

Features

Platform-agnostic
- Classifai is built with a Java backend. As Java is platform-neutral, it is as simple as download the Classifai Uber Jar file and runs 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

webp

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

Strengths of the Tool

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