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A Fire detection dataset that is divided using the method 5 fold validation.

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Fire_detection

This is a fire detection dataset, containing 260 images with multiple instances of fire and smoke, along with their labels. In this repository it is divided using the method 5 fold validation.

Note, the names were changed to fire1,fire2,fire3,...,fire260 for better understanding. In the original dataset the names were longer and with more information.

Each fold contains:

187 train images

21 validation images

52 test images

Each image has its corresponding label in txt form, with identical name.

Original dataset link: https://universe.roboflow.com/cs406/fire-labeling/dataset/2

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A Fire detection dataset that is divided using the method 5 fold validation.

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