The goal is to curate wildfire smoke datasets to enable open sharing and ease of access of datasets for developing vision based wildfire detection models. Easy access and open sharing of datasets will facilitate and accelerate the research efforts in solving wildfire crisis.

AI For Mankind downloaded the public domain HPWREN Cameras images and labeled these images for bounding box object detection.

1. HPWREN Cameras: Smoke/No Smoke datasets We separated the images into smoke and no smoke categories for anyone who is interested in building a smoke classifier.
2. HPWREN Cameras: Bounding Box Annotated Smoke Dataset (Pascal VOC annotation format) We annotated these images using bounding box for smoke detection.

Please provide attribution to HPWREN when using these datasets. Note: Learn more about HPWREN Cameras

AI For Mankind's volunteers will continue to annotate these HPWREN images and make them available here. Please feel free to reach out to us [email protected] if you would like to volunteer your time to help with labeling. Learn more about AI For Mankind here

1. Center for Wildfire Research of University of Split, Croatia

• Wildfire smoke detection based on local extremal region segmentation and surveillance
• Wildfire Smoke Detection Using SpatioTemporal Bag-of-Features of Smoke
• A wireless sensor network for early forest fire detection and monitoring as a decision factor in the context of a complex integrated emergency response system
• Wildfire Smoke Detection using Convolutional Neural Networks