L'oreal

Multiposting Sas

Emmanuel Malherbe

Matthieu Perrot

Loic Tran

Robin Kips

Christine Elfakhri

Florent Valceschini

Jean-Baptiste Gariel

Shuai Zhang

Loic Raucy

Panagiotis-alexandros Bokaris

Thierry Wasserman

John Charbit

In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.

Techniques for identifying skin color in images having uncontrolled lighting conditions

The present application is directed to a method and system for determining at least one physical and/or chemical characteristic of a keratinous surface of a user, the method comprising the steps of: —receiving data corresponding to at least one image of the keratinous surface, —processing the image by applying at least one machine learning model to said image, —returning at least one numerical value corresponding to a grade of the characteristic of the keratinous surface to be determined.

Method and system for determining a characteristic of a keratinous surface and method and system for treating said keratinous surface

The present disclosure involves systems, software, and computer implemented methods for monitoring processes running on a platform as a service architecture. One example method includes extracting one or more electronic job postings from a plurality of job posting websites. For each extracted electronic job posting, data associated with the extracted electronic job posting is automatically normalized into a normalized electronic job posting in a structured format. Each normalized electronic job posting is automatically enriched to create an enriched electronic job posting based on data sources external to the job posting websites. Each enriched electronic job posting is stored in a job posting repository.

Job posting data normalization and enrichment

Growing community of inventors

Paris, France

Emmanuel Malherbe