Synthetic Dataset data that mimics production data might not be complete for obvious reasons.
Train your Computer Vision Algorithms such as Document Classifier Algorithms, with data that considers real world variables and are statistically significant, so that they can see beyond what you see in the real world.
Haidata’s proprietary synthetic document dataset generation methodology based on large scale generative modelling and Domain randomization provides data that is well balanced with consistent sampling, accommodating rare events, so that it can enable superior simulation and training of your models.
Haidata currently provides synthetic document datasets in the following domains and use cases.
We also design and develop new synthetic documents as per customer requirements.