11811347 Canada Inc.
$105,900.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2024-2025
- Agreement period
- November 1, 2024 – March 31, 2025
- Reference
- nrc-cnrc:172-2024-2025-Q3-1023991
Published purpose
Automated Ground Truth Generation uses AI tools and machine learning algorithms to produce ground truth data for training machine learning models. This process uses machine-based heuristics and algorithmic computations to significantly reduce the need for human expertise and manual effort. The aim of this project is to create 3D annotations, such as bounding boxes, occupancy grids, and projected segmentation from a video or image sequences. While many existing tools offer AI-assisted annotation, they have limited support for generating ground truth data for more complex areas like 3D as it requires advanced technical skills and the fusion of data from multiple sources.
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