Product Images Sheglam Dew And Done Skin Tint With Spf 20 Mocha
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Product Label Images
The following 2 images provide visual information about the product associated with Sheglam Dew And Done Skin Tint With Spf 20 Mocha NDC 85068-021 by Ever Fame Pte. Ltd., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
Inner Label Mocha.jpg - Inner Label Mocha
This is a description for a skincare product called SHEGLAM Dew & Done Skin Tint with SPF20 sunscreen. The product comes in a 1.0 oz container and is designed to protect the skin from the sun, reducing the risk of skin aging and skin cancer. The skin tint contains Zinc Oxide as an active ingredient. It is recommended to apply liberally 15 minutes before sun exposure and reapply every 2 hours, especially when swimming or sweating. The product is water-resistant. The manufacturer is Ever Fame Ptes Ltd, located in Singapore. It is advised to avoid contact with eyes and broken skin, and in case of ingestion seek medical help immediately. The product is not recommended for children under 6 months of age, and if a rash occurs, discontinue use and consult a doctor.*
Outer Label Mocha.jpg - Outer Label Mocha
This text includes information about a sunscreen product containing Zinc Oxide for sun protection. It provides directions on how to apply the sunscreen, warnings about skin cancer, and lists both active and inactive ingredients. Additionally, the text mentions the importance of using moisturizer and sunscreen in a beauty routine, highlighting a specific product that combines a sheer tint with SPF20 sunscreen. This product is said to provide hydration, coverage, and protection against the sun, making it a convenient choice for a skincare routine. The product is described as offering a dewy finish and long-lasting hydration, available in multiple shades.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.
