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Overview of GeoLifeCLEF 2019: plant species prediction using environment and animal occurrences

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Academic year: 2021

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Fig. 1. Number of occurrences per training dataset. Trusted occurrences were deter- deter-mined from Pl@ntNet species identification engine certainty score.
Fig. 2. Patch extracted at the city of Brest, France.
Fig. 4. Mean Reciprocal Rank per run and participant. It was computed over the 25,000 test occurrences.
Fig. 5. Top30 accuracy averaged per species abundance class for the two best CNN models
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