Bird Identification Accuracy in eBird Citizen Science Data (Argentina)
Supplementary materials to quantify the accuracy of photographic bird identifications in eBird Argentina, with per-species ranking and network analysis.
- Size
- 2.7 MB
- Format
- HTML, RAR, XLSX
- License
- CC-BY-4.0
- Access
- Open Access
- Source
- Zenodo (record 6828335)
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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?
- 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 results and questions in the forum. Challenges are open-ended — there's no single right answer.