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Supplementary materials to quantify the accuracy of photographic bird identifications in eBird Argentina, with per-species ranking and network analysis.
Which bird species are most often misidentified in citizen photos, and is it the rare species or the look-alikes that cause the errors?
Where to start: Open the per-species ranking spreadsheet. Sort by accuracy and look at what the worst-ranked species have in common.
What to share: A ranked list or chart of the hardest-to-identify species and a hypothesis about why.
Share your analysis, questions and results about Bird Identification Accuracy in eBird Citizen Science Data (Argentina) in this thread. New here? See the welcome post.
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Ornithology · 2.7 MB · License: CC-BY-4.0
Supplementary materials to quantify the accuracy of photographic bird identifications in eBird Argentina, with per-species ranking and network analysis.
🔗 Dataset page · Zenodo record
Challenge
Which bird species are most often misidentified in citizen photos, and is it the rare species or the look-alikes that cause the errors?
Share your analysis, questions and results about Bird Identification Accuracy in eBird Citizen Science Data (Argentina) in this thread. New here? See the welcome post.
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