Ontology

Ontology is an abstract concept that can be puzzling but fears not; we won't explore explanations.

Ontology is how we describe the world in a structured way.

There are some significant concepts in ontology, and let's try to explain what ontology is by explaining the image below.

Class

A class represents a group of things or entities with common characteristics and properties.

In the Freeway image, we can easily abstract two classes: Car and Truck. Of course, it is also valid for abstract classes like Tree and Traffic Light. How you define classes truly depends on your annotation task. Regarding BasicAI, you can create two classes in the ontology to represent all cars and trucks.

Instance (Object)

The term "instance" (or "object") refers to an individual or a specific occurrence of a concept or class.

There are many cars and trucks in the Freeway image. Each is a specific occurrence of a car or truck, an instance, or an object.

truck 1 is an instance of Truck class.

Attribute

An attribute refers to a property or characteristic associated with a class or an instance.

Let's shift our attention to truck 1.

This truck possesses several distinguishing characteristics, such as an unknown brand, an orange color, a medium size, a moving motion, and no occlusion.

• Attribute name: The name of the characteristic, such as brand, color, size, motion, and occlusion.
• Option: The annotators should provide the final annotation for the characteristic.

In BascAI, you can create nested attributes inside a class.

Classification

A classification refers to a special attribute that targets the data or scene itself

Let's zoom out and take a look at the entire image. Instead of focusing on specific objects, classifications are image properties used to describe the data or scene.

For example, we can configure several classifications to describe this image, such as Data Quality, Scenario, and Weather. In BasicAI, titles like "Scenario" are referred to as the Classification Name, while options like "City," "Freeway," "Parking," and "Stop-and-Go" are called the Classification Options. You should configure them in the classifications tab of ontology like below.

Dataset

The dataset is where you organize and curate your data.

Data

Data is the finest granularity of data partitioning in BasicAI

The definition of Data may vary depending on different data types or your task types. Below are the definitions for each type of data

ROOT.zip
|
|--1.JPG #All the supported image files are defined as Data
|--2.PNG

ROOT.zip
|
|--Scene.MP4
|  |--1 ## Extracted by BasicAI, which will be treated as Data.
|  |--2 ## Extract by BasicAI, which will be treated as a Data

ROOT.zip
|
|--unimportant_folders
|  |--lidar_point_cloud_0
|  |  |--1.pcd
|  |  |--2.pcd
|  |--image_0
|  |  |--1.jpg
|  |  |--2.jpg
|  |--image_1
|  |  |--1.jpg
|  |  |--2.jpg
|  |  |--3.jpg

ROOT
|
|--video.mp4 
|--audio.mp3

Scene

Multiple consecutive data form a Scene

You can use a "Scene" for your annotation if you want consecutive tracking IDs for your data. The "Scene" is typically at a higher level than the Data.

Batch

A group of Scene or Data

A "Batch" is typically used to assist in managing and distributing data for tasks.