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Applying computer-aided photo-identification to messy datasets: a case study of Thornicroft’s giraffe (Giraffa camelopardalis thornicrofti)

Digital photography enables researchers to rapidly compile large quantities of data from individually identifiable animals, and computer software improves the management of such large datasets while aiding the identification process. Wild-ID software has performed well with uniform datasets controlling for angle and portion of the animal photographed; however, few datasets are collected under such controlled conditions. We examined the effectiveness of Wild-ID in identifying individual Thornicroft’s giraffe from a dataset of photographs (n = 552) collected opportunistically in the Luangwa

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The Luangwa Valley Giraffe

Observations by the author on Giraffa camelopardalis thornicrofti between 1963 and 1969 are supplemented by other data. Its distribution in recent years has extended northwards as far as 11*50′ South on the east bank of the Luangwa River and its number have increased on the west bank in placed previously sparsely inhabited. It is difficult to estimate the total population but there may be 270 — 300 and possibly more as they are believed to be increasing. Calving probably takes

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