When building Computer Vision solutions, emphasis is usually on the modelling side and on leveraging the latest algorithm.
While the model is important, in our experience we found that the key component to deliver a successful solution is to build and maintain a suitable dataset. In the talk, we will distil lessons learned from delivering real-life Computer Vision projects for big organizations that point at this.
In particular, we will discuss:
- disentangling the business goal from the possible technical how-to
- expressing assumptions and controlling for corner-cases through building a suitable dataset
- updating the dataset to reflect new lessons and evolving data
Abstract & Bio
Dataset Management for Computer Vision: Possibly the Most Underrated and Important Component to Delivering Successful Computer Vision Solutions in Real-life