The input natural skin images are used to predict the classification of skin diseases, and common diseases such as `acne`, `actinic keratosis`, `alopecia androgenetica`,` alopecia areata`, `bullous dermatosis`, `chloasma`, `corn`, `dermatofibroma`, `eczema dermatitis`, `erysipelas`, `erythema multiforme`, `folliculitis`, `furuncle`, `haemangioma`, `herpes`, `herpes` `simplex`, `iga vasculitis`, `keloid`, `keratosis follicularism`, `lichen planus`, `lupus erythematosus`, `molluscum contagiosum`, `nevus`, `paronychia`, `pityriasis alba`, `pityriasis rosea`, `prurigo nodularis`, `psoriasis`, `rosacea`, `sebaceous cyst`, `sebaceousnevus`, `seborrheic dermatitis`, `seborrheic keratosis`, `skin tag`, `stasis dermatitis`, `cyringoma`, `tinea capitis`, `tinea corporis`, `tinea cruris`, `tinea manuum`, `tinea pedis`, `tinea unguium`, `tinea versicolor`, `urticaria`, `urticaria papular`, `varicella`, `verruca plana`, `verruca vulgaris` and `vitiligo` can be detected.