Datasets:

star092304
/

typhoon-intensity-classification

language:
  - en
  - vi
license: cc-by-4.0
pretty_name: Tropical Cyclone Intensity Classification Dataset
task_categories:
  - image-classification
task_ids:
  - multi-class-image-classification
tags:
  - weather
  - typhoon
  - tropical-cyclone
  - cyclone
  - satellite-images
  - computer-vision
  - image-classification
  - deep-learning
size_categories:
  - 10K<n<100K
viewer: true
configs:
  - config_name: default
    data_files:
      - split: train
        path: annotations.csv
dataset_info:
  features:
    - name: file_name
      dtype: string
    - name: is_negative
      dtype: bool
    - name: category_id
      dtype: int64
  labels:
    - '0': No Storm
    - '1': Tropical Depression (TD)
    - '2': Tropical Storm (TS)
    - '3': Severe Tropical Storm (STS)
    - '4': Typhoon (TY)

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%