Datasets:
Tasks:
Image Classification
Formats:
csv
Sub-tasks:
multi-class-image-classification
Size:
1K - 10K
License:
| 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](https://aichallenge.ptit.edu.vn/) 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: | |
| ```text | |
| 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% | | |
|  | |