DINOv3 ConvNexts and ViTs fine-tuned on Pl@ntNet-300K-v2
Pl@ntNet
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Plant identification
Recent Activity
Multi-label classification models for plant community analysis in vegetation plots and complex scenes (landscapes, roadside views, etc).
Pl@ntNet self-supervised vision models trained on large-scale plant image datasets for transferable visual representations (output=embeddings).
DINOv3 ConvNexts and ViTs fine-tuned on Pl@ntNet-300K-v2
Models to identify the habitat based on species communities and/or environmental variables
Multi-label classification models for plant community analysis in vegetation plots and complex scenes (landscapes, roadside views, etc).
Pre-trained models for species identification from photographs focusing on a single individual plant, excluding quadrats, drone imagery, and landscape
Pl@ntNet self-supervised vision models trained on large-scale plant image datasets for transferable visual representations (output=embeddings).
Pre-trained models trained on GeoPlant dataset.