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Koala_Realtime_Detection_YOLO

Real time detection of Koala bear with finetuned YOLOv3 network initialized with pretrained weights on COCO dataset

How to Run

  1. Create Dataset folder and include following items in the folder a) test.txt - Contains list of all test images b) train.txt - contains all training images c) All training and testing images in .jpg format with labels from labellmg tool d) classes.names - contains all class names e) data_locations.data - contains all location information regarding data and backup

  2. Download Pretrained weights on COCO dataset from https://pjreddie.com/media/files/darknet53.conv.74

  3. Modify yolov3.cfg file according to the number of classes

  4. Training the Model: train.ipynb

  5. Testing the Model: ''' python3 koala_Real_time_detection.py '''

Methodology:

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Results:

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  • Python 68.8%
  • Jupyter Notebook 31.2%