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!
Why choose Innovatiana?
Outsourcing that makes sense and has impact
We demand anethical outsourcing modelfor artificial intelligence. We refuse the crowdsourcing proposed by most of our competitors. We invest in the training and development of our Malagasy employees to guarantee upskilling and continuity of the teams working on our customers' Use Cases.
Ethical outsourcing
We refuse the so-called"crowdsourcing" practices: we create stable and valued jobs to offer you Outsourcing that has meaning and impact as well as transparency about the origin of the Data used for AI.
An inclusive model
We recruit our own team in Madagascar and train them in Data Processing and Labeling techniques for AI. We offer them a fair salary, good working conditions and career development opportunities.
A proximity management
All the tasks entrusted to us are steered by an English-speaking and French-speaking Manager: your privileged contact. He mobilizes a team of Data Labelers to meet your objectives, and proposes a realistic deadline.
Competitive rates
We offer flexible conditions, for a pricing adapted to your stakes and to your means. We charge by the job (example: "label 50,000 images with bounding boxes"): no subscription, no set-up fees.
Our customers trust us
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.
Fuel your AI models with High Quality Training Data!
