AI is revolutionizing the fashion and luxury industry! From AI-assisted design to counterfeit detection, we help you develop your “human-in-the-loop” (HITL) models — to invent tomorrow's fashion and make it more responsible!
Are you in the luxury and fashion sector?
We have sourced and labelled hundreds of thousands of images in the fashion and luxury industries. The data was used to train models to detect counterfeit products or to recommend clothing to users.
AI & Design Luxury goods
Luxury products developed using AI can create clothing models using images from old collections or by combining designer styles or data concerning customers or a trend (choice of colors, styles, materials,...). AI Does Not Replace the Creator: It Helps Him to Express Himself! To build applications for designing clothing models, human intervention is preferred: most applications use “human-in-the-loop” AI models, such as the Muze project by Zalando and Google, which uses machine learning to create fashion models.
Detecting Counterfeits Luxury goods
The production of counterfeit products, which has a particular impact on the fashion and luxury sectors, does not have environmental protection as a priority. Counterfeit luxury products harm the planet because they are often produced in polluting, clandestine factories with an unethical supply and distribution chain. AI makes it possible to systematize the search for counterfeit fashion products on the Internet, to categorize and label them, and to train models to detect them systematically.
Predicting trends in the fashion and luxury industries
They say fashion is cyclical. Artificial intelligence is increasingly used to predict trends using data of all kinds: historical data, social networks,... These predictions can also help reduce waste by limiting production to clothes that will actually be bought and worn. To optimize production and distribution cycles and make fashion more responsible!
¿Por qué elegir Innovatiana?
Externalización con sentido e impacto
Exigimos un modeloético de externalización de la inteligencia artificial. Rechazamos el crowdsourcing propuesto por la mayoría de nuestros competidores. Invertimos en la formación y el desarrollo de nuestros empleados malgaches para garantizar la actualización y la continuidad de los equipos que trabajan en los casos de uso de nuestros clientes.
Externalización ética
Rechazamos las denominadas prácticasde "crowdsourcing": creamos puestos de trabajo estables y valorados para ofrecerle una subcontratación que tenga sentido e impacto, así como transparencia sobre el origen de los datos utilizados para la IA.
Un modelo integrador
Contratamos a nuestro propio equipo en Madagascar y les formamos en técnicas de procesamiento de datos y etiquetado para IA. Les ofrecemos un salario justo, buenas condiciones de trabajo y oportunidades de desarrollo profesional.
Gestión local
Todas las tareas que se nos confían están dirigidas por un Responsable francófono e inglés: su interlocutor privilegiado. Él o ella movilizará a un equipo de Data Labelers para cumplir sus objetivos y proponerle un plazo realista.
Tarifas competitivas
Ofrecemos condiciones flexibles, con precios adaptados a sus necesidades y recursos. Cobramos por trabajo (ejemplo: "etiquetar 50.000 imágenes con recuadros delimitadores"): sin suscripción ni costes de configuración.
Nuestros clientes confían en nosotros
We have sourced and labeled with Bounding Boxes, Polygons,... hundreds of thousands of images for clothing brands. The data was used to train models to identify products or detect counterfeits.
We reviewed batches of products from various brands to categorize them, identify logos, add a semantic layer to images, to allow them to be interpreted by Computer Vision models.
Our customers regularly ask us to collect image sets. Once qualified and categorized by our team, these images can be annotated in order to be exploited by a detection model, for various use cases.
Alimente sus modelos de inteligencia artificial con datos de entrenamiento de alta calidad.
