Wildlife Population Assessment and Estimation

Machine Learning tools have been used to assess and evaluate wildlife status, population and distribution trends. Aerial imagery, motion-sensor cameras and other powerful monitoring tools have been used to collect wildlife pictures frequently and unobtrusively. This has generated rich datasets that help to us understand wildlife and improves our ability to conserve ecosystems.

Data Labeler specializes in extracting information from these large monitoring datasets. Our high-quality training labeled datasets enable our clients to develop and train Machine Learning/Artificial Models that can monitor the wildlife.

Our world-class labeled datasets can be used to train models/algorithms to do the following:

• Detect the presence of rare species in images and videos
• Conduct wildlife population surveys
• Study animal behaviour
• Estimate wildlife population trends over time