Vintage-Privée
Vintage-Privée
Vintage-Privée Group announced that its AI authentication system has achieved 99.7% overall accuracy after the latest deep learning model upgrade, now covering 200+ international luxury brands.
This upgrade achieved breakthroughs in three areas: new watch micro-feature recognition covering 50+ detection dimensions; optimized leather texture algorithms achieving 99.9% accuracy for Hermès Birkin and Kelly; and adversarial training to enhance counterfeit detection.
The system uses an online learning architecture, continuously absorbing the latest authentic and counterfeit samples. The training dataset has accumulated over 30 million labeled images covering 50,000+ product models across 200+ brands.
