Library/dinov2Forked

facebookresearch/dinov2

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

View on GitHub↗Upstream facebookresearch/dinov2↗

Builder

Meta Research

facebookresearch • ai-lab

Stars

12,630

Using upstream star count

Forks

1,199

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Mar 29, 2023

Project creation date

README Summary

DINOv2 is a self-supervised learning method for computer vision that learns visual features without labels by training vision transformers on large amounts of curated data. The repository provides PyTorch implementation and pre-trained models that can be used as powerful visual backbones for various downstream tasks. It offers significant improvements over the original DINO method with better performance on image classification, segmentation, and other vision tasks.

AI Dev Skills

Unmapped

Self-Supervised LearningComputer VisionVision TransformersFeature LearningRepresentation LearningPyTorch Deep LearningPre-trained Model UsageImage Embeddings

Taxonomy

AI Trends

Self-Supervised Learning Foundation Models Vision Transformers

Deployment Context

Self-hosted Cloud API

Modalities

Image

Skill Areas

Self-Supervised Learning Computer Vision Vision Transformers Feature Learning Representation Learning PyTorch Deep Learning Pre-trained Model Usage Image Embeddings

Use Cases

Image Feature Extraction Visual Representation Learning Transfer Learning for Computer Vision Image Similarity Search Visual Content Analysis

Recent Activity

Updated 1 months ago

7 Days

30 Days

90 Days

Quality

research

Quality: high
Maturity: research

PM Skills

Scale & Reliability

Languages

Jupyter Notebook100.0%

Timeline

Project created: Mar 29, 2023
Forked: Mar 13, 2026
Your last push: 1 months ago
Upstream last push: 1 months ago
Tracked since: Mar 12, 2026

Similar Repos

pgvector cosine similarity · $0

Loading…