Voxel’s solution must perform on various sites worldwide. Before launch, sample video data is collected from site cameras over a short period of time. But training the AI model based on full recordings of video feeds is neither an efficient nor optimal solution.
For Voxel, it was crucial to find a solution for the following issues:
- Selection: Voxel was looking at hundreds of hours of unlabeled data without an in-house solution to select intelligently or based on their criteria
- Efficiency: The onboarding of new customers was time-intensive, so the need for an end-to-end data curation solution was immense.
Voxel was looking for a way to improve the speed of their customer deployments and allow customers to start using their platform quickly by minimizing the amount of time required to train its model. Accordingly, they needed to find an efficient way to select the most interesting data to annotate the most relevant images.