Balakishan77/Yolov8-Custom-Object-Detetction
This repo explains the custom object detection training using Yolov8.
This helps public health officials, safety managers, or facility administrators automatically detect if people are wearing face masks correctly in images or video. It takes visual input of people and outputs bounding boxes indicating if a person is wearing 'no mask', 'mask', or 'improper mask'. This is for those who need to monitor mask compliance in public or controlled environments.
No commits in the last 6 months.
Use this if you need a pre-trained model and guide to identify proper, improper, or absent face mask usage in visual data.
Not ideal if you need to detect different objects or require advanced customization beyond face mask detection.
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Last pushed
Jan 16, 2023
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