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wildfire-detection's Introduction

Wildfire Detection

This dataset1 contains 250x250-pixel images depicting normal scenes and those containing fires. Below are some examples of these images:

Normal Fires

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

Got questions, feedback, or want to join a community of machine learning practitioners working with exciting tools and projects? Check out our Community!

1 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

wildfire-detection's People

Contributors

danaf avatar

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