# RobvanGastel/dinov3-finetune

<https://repo.masters-masters.com/en/repos/RobvanGastel/dinov3-finetune>

[Home](https://repo.masters-masters.com/en) › [RobvanGastel](https://repo.masters-masters.com/en/owners/RobvanGastel) › [dinov3-finetune](https://repo.masters-masters.com/en/repos/RobvanGastel/dinov3-finetune)

RobvanGastel/dinov3-finetune has 511 stars on GitHub. Its RepoMasters card: Alpha tier. Testing adaptation of the DINOv2/3 encoders for vision tasks with…

| Field | Value |
| --- | --- |
| Owner | [RobvanGastel](https://repo.masters-masters.com/en/owners/RobvanGastel) |
| Stars | 511 |
| Forks | 38 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Topics | dinov2, dinov3, self-supervised-learning, image-segmentation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [RobvanGastel/dinov3-finetune](https://github.com/RobvanGastel/dinov3-finetune) |

## Repository

Testing adaptation of the DINOv2/3 encoders for vision tasks with Low-Rank Adaptation (LoRA)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.