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.
Step 0: Preparation
Prepare a flags file like logo_flags.txt or fruit_flags.txt. An example is shown below:
Apple
Meta
GoogleStep 1: Run the Application
python anylabeling/app.pyStep 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.
Option 1: Quick Start
Tip
This option is suitable for a quick startup.
python anylabeling/app.py --flags Apple,Meta,GoogleCaution
Remember separate custom labels with a comma ','.
Option 2: Using a Configuration File
python anylabeling/app.py --flags flags.txtNote
Here, each line represents a category.
For detailed output examples, refer to this folder.