Animal-Intrusion-Detection

Animal Intrusion Detection using yolov5

Dataset

Preparing the Data

• Various classes are collected
  • Tiger
  • Giraffe
  • Bear
  • Lion
  • Elephant
  • Deer
  • Wolf
  • Bull
  • Monkey
  • Leopord
  • Rhinoceros
  • Hippo
  • Cattle
• The collected data was labelled

Spliting the Data

• The data is split into train and validation which is of the ratio 80:20
• The prepared dataset is uploaded into the drive

Cloning of Yolov5 and installing requirements

• The yolov5 github repo was cloned into google colab
• The data is mounted onto the google drive
• The dataset is unzipped for further accessing
• All the requirements for yolov5 are installed

Data training and Validation

• Mark the given config files as required
• the training of model is done with image size 415, batch size - 31, epochs -100
• Weights of yolov5s is given

Inference

• The inference files are uploaded (video, images)
• The inference with the weights of best.pt is done

Display

• The detected image is displayed

Predictions

Image

Video

https://user-images.githubusercontent.com/96674419/171603746-b8281df0-1d90-4378-9830-50f71404b53d.mp4