metadata
license: cc-by-nc-4.0
This repo contains pre-trained weights for the "reg4" version of the DINOv2 model converted into a format that can be used by candle.
The model was finetuned on about 1.4 million images covering 7806 vascular species to identify plants, and proposed to the participants of the PlantCLEF 2024 competition. See the HuggingFace's page of the PlantCLEF 2024 competition. The original PyTorch weights can be found on Zenodo. The model tag is vit_base_patch14_reg4_dinov2_lvd142m_pc24_onlyclassifier_then_all
The extraction script used the code from pytorch-to-safetensor-converter
Citing DINOv2 reg4 finetuned on PlantCLEF 2024 dataset
@misc{goeau_2024_10848263,
author = {Goëau, Hervé and
Lombardo, Jean-Chirstophe and
Affouard, Antoine and
Espitalier, Vincent and
Bonnet, Pierre and
Joly, Alexis},
title = {{PlantCLEF 2024 pretrained models on the flora of
the south western Europe based on a subset of
Pl@ntNet collaborative images and a ViT base patch
14 dinoV2}},
month = mar,
year = 2024,
publisher = {Zenodo},
doi = {10.5281/zenodo.10848263},
url = {https://doi.org/10.5281/zenodo.10848263}
}