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We're finished with this first set of data! Thanks so much to all who have helped out (HUNDREDS of you!). We look forward to sharing the results with you soon.

This project has been built using the Zooniverse Project Builder but is not yet an official Zooniverse project. Queries and issues relating to this project directed at the Zooniverse Team may not receive any response.

Aerial wildlife surveys in Africa

Help to spot and count elephants and other wildlife in aerial photos from Africa

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The first stage of the workflow is to simply identify if there's an animal in the image at all. This is what anyone accessing the count on a mobile phone will be working on. Most photos will be empty, but look carefully!

Filtering out the empty images is a critical first phase. Images that contain animals then move into the "Count elephants and other animals" workflow, where you'll find the tools for counting individuals.

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Aerial wildlife surveys in Africa Statistics

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Message from the researcher

simbamangu avatar

If we can count effectively from photos, we hope to be able to do more than double the counts every year which means better protection for elephants!

simbamangu

About Aerial wildlife surveys in Africa

Elephants and other large mammals on the savannahs of Africa have been counted in much the same way since the 1960s. Technology now promises a new era of vastly improved accuracy at dramatically reduced cost. But to get there we need your help.

For the last half century wildlife numbers have been estimated using small bushplanes to fly transect lines across the vast landscapes, with human observers counting the various species that they see from the air. At Save The Elephants we’ve been counting elephants for forty odd years to assess the distribution of the existing population and put better responses and management plans in place for their protection.

A new future beckons. Modern cameras can capture sharp images at speed, and can pick out details in shadows in an otherwise bright scene. Drones are improving every day, and before long will be able to carry the cameras cheaply and effectively. This leaves only one element: spotting the wildlife in the photos, identifying the species and counting them.

That's where you come in. Algorithms are being developed to help spot wildlife in photographs, but we're not quite there yet. In the meantime we need human eyes, and human brains, to do the spotting and counting. The 183,000 images taken at a recent trial aerial census in Tsavo will take over 6 months for 12 professionals to count. We're hoping the citizens of the world can help us finish it quicker!

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