[Deep Learning] [Original] Introduction to FIRC-fire VOC Data Set of Fire and Smoke Detection

Introduction to Fire and Smoke Detection VOC Data Set FIRC-fire

Fire smoke is currently difficult to find VOC data sets on the Internet. Because VOCs need to be manually labeled, which is time-consuming and labor-intensive, there is a FIRC-fire labeled VOC data set. The data set has 10578 pictures and corresponding 10578xml files. Covers a wide range of scenarios and has good generalization capabilities. Mainly include the following scenarios:

  • Forest fire
  • Building fire
  • candle
  • Butts
  • Airplane fire
  • Vehicle fire
  • Firewood bonfire
  • Olympic torch
  • Etc.
    Use scenarios:
  • Fire detection
  • Smoke detection
    can train the framework:
  • yolov3
  • yolov4
  • yolov5
  • ssd
  • efficientdet
  • center
  • mmdetection
  • tensorflow object api
  • detectron2
  • faster rcnn
  • Etc.
    Data source: https://firc.gitee.io
    License: No commercial use, chargeable.
    Labeling unit: Future Independent Research Center
    Download link : Follow the WeChat public account Future Independent Research Center and reply to the smoke to obtain the data set

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Origin blog.csdn.net/FL1623863129/article/details/111404784