This video titled "Label Images for Object Detection | Annotate Images for Machine Learning | YOLOv4" covers the steps to annotate or label Image Dataset so that you can build and train any object detection model or classification model, be it using standalone Convolutional Neural Network or using YOLOV4 framework. Video covers steps to install LabelImg tool in Windows and Anaconda distribution environment as well as labeling them and saving them in YOLO format. These labeled images are required to build a custom object detection model according to the data we have. For e.g. someone might want to build an object detection model to detect home appliances, somebody wants to build an object detection model to detect various vehicles such as cars trucks bikes, etc. so you can build and train deep learning or machine learning model according to your use cases. Image Labeling or Annotation is one the same thing and it means drawing bounding boxes around different objects in the given image. Bounding Box labeling technique is one of the many Annotation techniques.

Github Link to download LabelImg tool: https://github.com/tzutalin/labelImg


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#YOLOV4 #ObjectDetection #LabelImages