Product Images Camo Cc Cream Spf30 Deep 510 C

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Product Label Images

The following 3 images provide visual information about the product associated with Camo Cc Cream Spf30 Deep 510 C NDC 76354-924 by E.l.f. Cosmetics, Inc, 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.

Bottle13 - Bottle13

Bottle13 - Bottle13

This text describes a cosmetic product named "DEEP 510 C" offered by ELF brand. It claims to have color-correcting properties with full-coverage and natural finish. The product has cool (C) peach undertones and skin-loving ingredients such as Collagen, Peptides, and Niacinamide which are beneficial for the skin. The net weight of the product is 1.05 oz or 30g.*

Box13 - Box13

Box13 - Box13

This is a product description of a color-correcting cream that acts as a multitasking dream cream for the skin with SPF 30 that is made of collagen, peptides, and niacinamide. The cream is used as a moisturizer and full-coverage foundation with cool peach undertones for a natural-looking finish. The drug facts section warns against sunburn and early skin aging caused by the sun and advises using a broad-spectrum SPF sunscreen regularly. The product has instructions on how to use and apply the cream on the skin for best results.*

Label13 - Label13

Label13 - Label13

This product is a color-correcting full-coverage foundation with a natural finish that can be applied using a brush for an airbrushed look. It contains active ingredients such as OCTINOXATE 7.5%, TITANIUM DIOXIDE 4.45%, and INCONDE 1372. The product is to be used internally and not on broken skin. Users are advised to apply the product 15 minutes before sun exposure and reapply every 2 hours. If a rash appears, customers should stop using it and seek medical advice. The foundation is manufactured by ELF and is recommended for customers with deep complexion.*

* 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.