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Data from: A computer vision for animal ecology

Citation

Weinstein, Ben G. (2018), Data from: A computer vision for animal ecology, Dryad, Dataset, https://doi.org/10.5061/dryad.b700h

Abstract

1. A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in time and space. However, the ability to process these images remains a bottleneck. 2. Computer vision can greatly increase the efficiency, repeatability, and accuracy of image review. Computer vision uses image features, such as color, shape, and texture to infer image content. 3. I provide a brief primer on ecological computer vision to outline its goals, tools and applications to animal ecology. 4. I reviewed 187 existing applications of computer vision and divided articles into ecological description, counting, and identity tasks. 5. I discuss recommendations for enhancing the collaboration between ecologists and computer scientists and highlight areas for future growth of automated image analysis.

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