star092304/typhoon-intensity-classification

Typhoon - Image Classification Dataset

This dataset comes from PTIT AI Challenge and is organized for a multi-class image classification task focusing on tropical cyclone (typhoon) intensity estimation.

Dataset Structure

The directory structure is organized as follows:

train/
    ├── images/
    │   ├── image1.jpg
    │   └── ...
    └── annotations.csv (only present in the train folder)

The public_test and private_test sets are used to evaluate and score the participating teams after the training phase is completed.

Labels

The dataset categorizes images into 5 classes based on the intensity of the storm:

• 0: No Storm (is_negative=True)
• 1: TD (Tropical Depression)
• 2: TS (Tropical Storm)
• 3: STS (Severe Tropical Storm)
• 4: TY (Typhoon)

Dataset Characteristics

For a more detailed data analysis, please refer to the data_analysis.ipynb notebook.

• Total samples: 8385
• Total classes: 5

Class Distribution

The distribution of images across the different classes is as follows:

Class	Description	Count	Percentage
0	No Storm	2548 images	30.4%
1	TD (Tropical Depression)	1931 images	23.0%
2	TS (Tropical Storm)	1583 images	18.9%
3	STS (Severe Tropical Storm)	770 images	9.2%
4	TY (Typhoon)	1553 images	18.5%