What if you could reduce dependence on real data by 90%, and train your AI on something more accessible? While computer vision has vast potential across industries, its growth has been limited by data constraints. The IQT Lab CosmiQ Works teamed up with synthetic data leader AI.Reverie to empirically test synthetic data in algorithm training -- and found that it worked.
Join this webinar to learn:
- How to bootstrap your algorithm and improve accuracy when real data is limited or nonexistent
- The relative performance of AI models trained on real vs synthetic data
- The real-world applications across industries
- Key features of RarePlanes, now the largest open dataset of real and synthetic overhead imagery