Data from: A convolutional neural network for detecting sea turtles in drone imagery

Patrick C. Gray, Abram B. Fleishman, David J. Klein, Matthew W. McKown, Vanessa S. Bézy, Kenneth J. Lohmann & David W. Johnston
1. Marine megafauna are difficult to observe and count because many species travel widely and spend large amounts of time submerged. As such, management programs seeking to conserve these species are often hampered by limited information about population levels. 2. Unoccupied aircraft systems (UAS, aka drones) provide a potentially useful technique for assessing marine animal populations, but a central challenge lies in analyzing the vast amounts of data generated in the images or video acquired...
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63 downloads reported since publication in 2019.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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