Watch On-Demand to learn more about data and annotation best practices for any organization looking to leverage AI, specifically computer vision, within their company. Learn from our practical examples and tool showcases, and get answers for your questions from our expert guests.
Instead of needing a lifetime of input to be able to react in the real world, great computer vision solutions leverage the right combination of models and datasets that match the task at hand. Today, you need to have the right data-centric approach to build successful computer vision applications, using advanced tools and specialized annotators.
You might be dealing with diverse data types, such as:
- 2D images and video (taken from an SLR or infrared camera)
- 3-D images and video (taken from a camera or scanner)
- Sensor data (taken from RADAR or LiDAR technology).
- A mix of the above