Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery (USGS 19 FA 0203)
- The Department of the Interior, U. S. Geological Survey in the natural resources sector is offering a public funding opportunity titled "Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
- This funding opportunity was created on Jun 07, 2019.
- Applicants must submit their applications by Jun 17, 2019.
- Each selected applicant is eligible to receive up to $85,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Public and State controlled institutions of higher education.
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|N624731920010||Monitoring of the Flat-Tailed Horned Lizard and the Sonoran Pronghorn Captive Breeding Pen|
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|NPSNOITONT1900543||SCA Archaeology Technician Intern|
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|P19AS00264||NOTICE OF INTENT: Youth Experience in Management of Invasive Species and Hazardous Fuels|
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