Dermatological Disease Recognition System Based on YOLOv5
This paper focuses on common skin diseases such as acne and dermatitis,and develops a skin disease recognition system based on the YOLOv5 object detection algorithm,which has the functions of scanning and recognizing skin diseases,popularizing skin diseases,and so on.Users can identify skin diseases by uploading pictures or taking photos of the affected area.They can also recognize skin diseases through the scan function,which means that the system will automatically recognize skin diseases by scanning the affected area.It can provide users with popular science knowledge for skin disease,including introduction,causes,complications,symptoms,and how to prevent,distinguish,and treat corresponding skin diseases.After production practice testing,the system can quickly identify 20 common skin diseases,assist users in skin disease recognition,and help users achieve self-medication.
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