A large-scale collection of annotated data categorized for Line of Interest (LOI) people counting. It provides specific ground truth for tracking and enumerating individuals as they cross defined spatial boundaries.
Use Cases
- Train computer vision models to detect boundary crossings using the Line of Interest (LOI) annotations.
- Benchmark the performance of automated counting systems against the large-scale ground truth labels.
- Develop motion-based tracking algorithms using the sequential data to improve counting precision.
Strengths
- Specialized for Line of Interest (LOI) counting methodologies.
- Classified as a large-scale data resource for crowd analysis.
- Includes ground truth for individuals crossing spatial boundaries.