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2022-1 Individual Research Assignment: Using YOLOv5 to simply recognize each type of fire

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Choe-Ji-Hwan/Fire_Detect_Custom_Yolov5

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Fire detect using custom datas and yolov5 From Colab

Open In Colab Open In Kaggle
Python>=3.7.0 environment, including PyTorch>=1.7.

  • Process
  1. Use yolov5 for tutorial
  2. Data custom (use roboflow or labelimg)
  3. trainning
    # 2-3 repeat
  4. comparison (yolov5 models, epoch, fire size)

Used tool

Result

Hnet com-image Hnet com-image

Sudo code

// detect tracing fire size 

Used Dataset

Kaggle Fire Dataset: https://www.kaggle.com/phylake1337/fire-dataset
cair/Fire-Detection-Image-Dataset images: https://github.com/cair/Fire-Detection-Image-Dataset
Fire Image Data Set for Dunnings 2018 study-PNG still image set: https://collections.durham.ac.uk/files/r2d217qp536#.YkMMGShBxD_

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2022-1 Individual Research Assignment: Using YOLOv5 to simply recognize each type of fire

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