baaivision/EVA
EVA Series: Visual Representation Fantasies from BAAI observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 99
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1388
- days_rel: n/a
- days_push: 762
- n_releases_24m: 0
Adoption not part of the score
2691 stars · 187 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
EVA is a family of large-scale vision foundation models from BAAI, including masked image models (EVA-01/02) and scaled CLIP models (EVA-CLIP up to 18B parameters). It provides pretrained weights and training code, distributed via Hugging Face, timm, and open_clip.
Use cases
- extract visual features from images with a pretrained vision transformer
- fine-tune a large vision foundation model on my own image classification dataset
- use a large CLIP model for zero-shot image classification
- compute image and text embeddings for image search
- backbone for object detection or segmentation models
When to avoid
- you need lightweight models for edge or CPU-only deployment
- you need a turnkey application rather than model weights and training code
Facets
library · maturity active
machine-learning deep-learning computer-vision deep-learning image-processing python vision-transformer foundation-models representation-learning clip masked-image-modeling pretrained-models gpu
1 source
- readme: https://github.com/baaivision/EVA · fetched 2026-08-28 · a89da83948bf
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| baaivision/EVA | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem