Image-level Classification Example

Introduction

Image Classification is the task of assigning a specific label or class to an entire image, which can be divided into different categories, i.e., Multiclass Classification and Multilabel Classification.

Multiclass Classification focuses on categorizing data into more than two classes.

Multilabel Classification allows for each instance to be associated with multiple labels simultaneously, enabling the assignment of multiple binary labels to a single image.

Usage

GUI Import

Step 0: Preparation

Prepare a flags file like logo_flags.txt or fruit_flags.txt. An example is shown below:

Apple
Meta
Google

Step 1: Run the Application

python anylabeling/app.py

Step 2: Upload the Configuration File

Click on Upload -> Upload Image Flags File in the top menu bar and select the prepared configuration file to upload.

Command Line Loading

Option 1: Quick Start

python anylabeling/app.py --flags Apple,Meta,Google

Option 2: Using a Configuration File

python anylabeling/app.py --flags flags.txt

For detailed output examples, refer to this folder.