OMB Individually Reported
Automated Walrus Haulout Monitoring [2024 INV#WO0000000110052]
Low riskExact public inventory row
Description
provide a framework for using pre-trained image classification convolutional neural network CNN models to make predictions on unlabled image datasets to provide data for further analysis of walrus (Odobenus rosmarus) coastal haulout occupation
Detailed example
determining the presence and absence of walruses at hauout locations via remote camera traps
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
time savings, reduce manual image review
Controls / human review
ATO: No; PIA: Not published
Data needed
camera trap imagery