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<p align="center"> <a href="https://www.perceptilabs.com"> <img src="./pl_logo.png"> </a> </p>Wildfire Detection
This dataset<sup>1</sup> contains 250x250-pixel images depicting normal scenes and those containing fires. Below are some examples of these images:
The data can be used to build and train an ML model that can detect wildfires using image recognition.
Structure
This repo has the following structure:
- model.json: model file that you can load into PerceptiLabs (requires PerceptiLabs 0.12.0 or higher)
- /Forest Fire: contains the following:
- /data: directory containing images of scenes
- data.csv: CSV file that maps images to two classifications: fire and no_fire. This file can be used to import the data into PerceptiLabs when creating a model from scratch. The following shows a partial example of the CSV file:
| image | label |
|---|---|
| ./data/fire (1).jpg | fire |
| ./data/nofire (152).jpg | no_fire |
Community
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<sup>1</sup> Dataset Credits: Baris Dincer (2021), Wildfire Detection Image Data For Machine Learning Process, Kaggle, V1, https://www.kaggle.com/brsdincer/wildfire-detection-image-data, Database Contents License (DbCL) v1.0