A complete guide to object detection using YOLO V4 and OpenCV

This collection of Google Colab-Notebooks demonstrates how to perform object detection using the YOLO V4 model.

The material is seperated in two sections as listed below:

Access the two notebooks for a step-by-step deployment of the object detector on images and video containing instances of the COCO dataset classes.

• object_detection_yolov4_pretrained_image.ipynb
• object_detection_yolov4_pretrained_video.ipynb

Access the two notebooks for a step-by-step guide on how to train a custom model tuned to your training data and deploy it on new, previously unseen images. The exercise focuses on face-mask detection and uses the publically available dataset Face Mask Detection(Images with YOLO Format) posted in kaggle.

• object_detection_yolov4_custom_model_train.ipynb
• object_detection_yolov4_custom_model_deploy.ipynb

You need to have a Google account and access to your Google Drive

This material is provided as is and it is meant for educational purposes only. Use it as you wish at your own risk. PLease include a reference to this page.