DINOV2 offers a powerful, generalist visual backbone learned entirely from
unlabeled images as described in DINOv2: Learning Robust Visual Features
without Supervision
pip install -U -q keras-hub
pip install -U -q keras
Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructions on installing them in another environment see the Keras Getting Started page.
Presets
The following model checkpoints are provided by the Keras team. Weights have been ported from: https://huggingface.co. Full code examples for each are available below.
Preset name
Parameters
Description
dinov2_small
22.58M
Vision Transformer (small-sized model) trained using DINOv2.
dinov2_base
87.63M
Vision Transformer (base-sized model) trained using DINOv2.
dinov2_large
305.77M
Vision Transformer (large-sized model) trained using DINOv2.
dinov2_giant
1.13B
Vision Transformer (giant-sized model) trained using DINOv2.
dinov2_with_registers_small
22.58M
Vision Transformer (small-sized model) trained using DINOv2, with registers.
dinov2_with_registers_base
87.63M
Vision Transformer (base-sized model) trained using DINOv2, with registers.
dinov2_with_registers_large
305.77M
Vision Transformer (large-sized model) trained using DINOv2, with registers.
dinov2_with_registers_giant
1.13B
Vision Transformer (giant-sized model) trained using DINOv2, with registers.
