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Top Smoking Datasets

Smoking and smoke detection datasets can be used in a wide variety of use cases such as early identification of wildfires, building fires, and manufacturing fires. Detecting fires visually can help alert security teams before smoke detectors sense smoke particles.

Along with fires, smoke detection can be used to identify cigarettes and cigarette smoking for media and content moderation. Content moderation ensures broadcasting, television, and other media organizations are meeting all local laws regarding age appropriate content.

Smoke Detection Dataset

This computer vision smoke detection dataset contains images of synthsized smoke in both indoor and outdoor settings. Check out the source link below for more information on this dataset.

source:

Smoke100k dataset
https://bigmms.github.io/cheng_gcce19_smoke100k/

Use Cases

  • Identifying smoke indoors
  • Identifying smoke outdoors (but not with aerial imagery)
  • Identifying smoke-like object (eg: mist/steam from humidifiers)

Testing

You can test this model by using the Roboflow Inference Widget found above. The action hits the model inference API, which in turn produces the color coded bounding boxes on the objects the model was trained to detect, along with its labels, and confidence for each prediction. The feature also produces the JSON output provided by the API.

This dataset was originally created by Matteo Pacini. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/sigma-pub/smoke-detection-sigma.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark