Model Type: Image classification
Backbone: vit_small_plus_patch16_dinov3.lvd1689m
Model Stats:
- Params (M): 28.7
- GMACs: 8.1
- Activations (M): 21.8
- Image size: 384 x 384
Papers:
- DINOv3: https://arxiv.org/abs/2508.10104
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: https://arxiv.org/abs/2010.11929v2- Original: https://github.com/facebookresearch/dinov3
Dataset:
- PlantDoc (8000 images)
Pretrain Dataset: LVD-1689

Model Usage

Built with:

python

import torch
import timm

# create model
model = timm.create_model(
    "vit_small_plus_patch16_dinov3.lvd1689m",
    pretrained=False,
    num_classes=39,
)

# load weights
state_dict = torch.load("model.bin", map_location="cpu")
model.load_state_dict(state_dict)

unionpoint/vit_small_plus_patch16_dinov3.ft_plantdoc_384

Model card for vit_small_plus_patch16_dinov3.ft_plantdoc_384

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unionpoint/
vit_small_plus_patch16_dinov3.ft_plantdoc_384