| | --- |
| | annotations_creators: |
| | - crowdsourced |
| | language_creators: |
| | - crowdsourced |
| | language: [] |
| | license: |
| | - apache-2.0 |
| | multilinguality: [] |
| | size_categories: |
| | - 1K<n<10K |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - image-classification |
| | task_ids: [] |
| | pretty_name: Wildfire image classification dataset collected using images from web |
| | searches. |
| | --- |
| | |
| | # Dataset Card for OpenFire |
| |
|
| | ## Table of Contents |
| | - [Table of Contents](#table-of-contents) |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| | - [Languages](#languages) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| | - [Dataset Creation](#dataset-creation) |
| | - [Curation Rationale](#curation-rationale) |
| | - [Source Data](#source-data) |
| | - [Annotations](#annotations) |
| | - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| | - [Considerations for Using the Data](#considerations-for-using-the-data) |
| | - [Social Impact of Dataset](#social-impact-of-dataset) |
| | - [Discussion of Biases](#discussion-of-biases) |
| | - [Other Known Limitations](#other-known-limitations) |
| | - [Additional Information](#additional-information) |
| | - [Dataset Curators](#dataset-curators) |
| | - [Licensing Information](#licensing-information) |
| | - [Citation Information](#citation-information) |
| | - [Contributions](#contributions) |
| |
|
| | ## Dataset Description |
| |
|
| | - **Homepage:** https://pyronear.org/pyro-vision/datasets.html#openfire |
| | - **Repository:** https://github.com/pyronear/pyro-vision |
| | - **Point of Contact:** Pyronear <https://pyronear.org/en/> |
| |
|
| | ### Dataset Summary |
| |
|
| | OpenFire is an image classification dataset for wildfire detection, collected |
| | from web searches. |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | - `image-classification`: The dataset can be used to train a model for Image Classification. |
| |
|
| | ### Languages |
| |
|
| | English |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | A data point comprises an image URL and its binary label. |
| |
|
| | ``` |
| | { |
| | 'image_url': 'https://cdn-s-www.ledauphine.com/images/13C08274-6BA6-4577-B3A0-1E6C1B2A573C/FB1200/photo-1338240831.jpg', |
| | 'is_wildfire': true, |
| | } |
| | ``` |
| |
|
| | ### Data Fields |
| |
|
| | - `image_url`: the download URL of the image. |
| | - `is_wildfire`: a boolean value specifying whether there is an ongoing wildfire on the image. |
| |
|
| | ### Data Splits |
| |
|
| | The data is split into training and validation sets. The training set contains 7143 images and the validation set 792 images. |
| |
|
| | ## Dataset Creation |
| |
|
| | ### Curation Rationale |
| |
|
| | The curators state that the current wildfire classification datasets typically contain close-up shots of wildfires, with limited variations of weather conditions, luminosity and backrgounds, |
| | making it difficult to assess for real world performance. They argue that the limitations of datasets have partially contributed to the failure of some algorithms in coping |
| | with sun flares, foggy / cloudy weather conditions and small scale. |
| |
|
| | ### Source Data |
| |
|
| | #### Initial Data Collection and Normalization |
| |
|
| | OpenFire was collected using images publicly indexed by the search engine DuckDuckGo using multiple relevant queries. The images were then manually cleaned to remove errors. |
| |
|
| | ### Annotations |
| |
|
| | #### Annotation process |
| |
|
| | Each web search query was designed to yield a single label (with wildfire or without), and additional human verification was used to remove errors. |
| |
|
| | #### Who are the annotators? |
| |
|
| | François-Guillaume Fernandez |
| |
|
| | ### Personal and Sensitive Information |
| |
|
| | [More Information Needed] |
| |
|
| | ## Considerations for Using the Data |
| |
|
| | ### Social Impact of Dataset |
| |
|
| | [More Information Needed] |
| |
|
| | ### Discussion of Biases |
| |
|
| | [More Information Needed] |
| |
|
| | ### Other Known Limitations |
| |
|
| | [More Information Needed] |
| |
|
| | ## Additional Information |
| |
|
| | ### Dataset Curators |
| |
|
| | François-Guillaume Fernandez |
| |
|
| | ### Licensing Information |
| |
|
| | [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). |
| |
|
| | ### Citation Information |
| |
|
| | ``` |
| | @software{Pyronear_PyroVision_2019, |
| | title={Pyrovision: wildfire early detection}, |
| | author={Pyronear contributors}, |
| | year={2019}, |
| | month={October}, |
| | publisher = {GitHub}, |
| | howpublished = {\url{https://github.com/pyronear/pyro-vision}} |
| | } |
| | ``` |
| |
|
