Hooded Vulture
Thompson Lindy
Field data collection and validation framework
White-backed Vulture
Thompson Lindy
The framework ensures that the AI model is robust and generalizable across different regions and habitats. Data collected is used to test the model’s ability to recognize vulture species in diverse conditions, providing feedback for further optimization.
- Deployment of drones and camera traps in strategic locations within reserves for optimal coverage.
- Collaboration with local conservation teams for field logistics and data collection.
- Consistent testing and refinement of the model based on field results to address discrepancies.
- Having local partnerships ensures smoother field operations and enhances data collection efficiency.
- A major challenge was dealing with low-quality or insufficient data; addressing this required setting up more camera traps in diverse locations.