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Imaging · dataset · 2022

EdBianchi/SmokeFire

Listed in Hugging Face Datasets

Dataset Card for "SmokeFire" Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas.

Description

The impact of these events affects both vegetation and wildlife. This dataset can be used to train networks able to detect smoke and/or fire in forest environments.

Data Sources & Description This dataset consist of sample from two datasets hosted on Kaggle: Forest Fire Forest Fire Images The datasets consist of: 2525 Fire samples 2525… See the full description on the dataset page: huggingface.co/datasets/EdBianchi/SmokeFire.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsEdBianchi/SmokeFire14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0