ZrrSkywalker/Personalize-SAM
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds observed · 2026-08-28
Health v2 · maintenance only
29/100
- Activity 0
- Release rhythm 35
- Longevity 86
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1217
- days_rel: n/a
- days_push: 772
- n_releases_24m: 0
Adoption not part of the score
1671 stars · 113 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
PerSAM is the official implementation of 'Personalize Segment Anything Model with One Shot', which customizes the Segment Anything Model (SAM) to segment specific visual concepts (e.g., a pet dog) in other images or videos given a single reference image with a mask. It offers a training-free variant and a fine-tuned variant (PerSAM-F) that trains only 2 parameters in 10 seconds.
Use cases
- segment my pet dog across a whole photo album from one labeled example
- personalize SAM for one-shot object segmentation without training
- segment a specific object in videos given a single reference mask
- remove background disturbance for DreamBooth fine-tuning of Stable Diffusion
- fine-tune SAM on my own dataset with a single shot in seconds
- run a web demo of personalized segmentation
When to choose
- you need to segment a specific object instance across many images or videos with only one annotated example
- you want a training-free or near-instant (10-second) SAM personalization
- you want to clean up few-shot training images for DreamBooth/Stable Diffusion personalization
- you need efficient segmentation on resource-constrained setups via MobileSAM support
When to avoid
- you need general-purpose segmentation of arbitrary objects without a reference mask
- you need multi-shot or large-scale supervised segmentation training
- you need a production-ready application with a polished UI rather than a research codebase
- you work outside Python/GPU environments
Facets
library · maturity active
machine-learning computer-vision image-processing computer-vision image-processing deep-learning artificial-intelligence python segment-anything sam one-shot-segmentation personalized-segmentation persam image-segmentation training-free stable-diffusion-assist gpu
1 source
- readme: https://github.com/ZrrSkywalker/Personalize-SAM · fetched 2026-08-28 · 8f7fbde121ee
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ZrrSkywalker/Personalize-SAM | main | 29 |
For agents
markdown · JSON · MCP: product_card(name="ZrrSkywalker/Personalize-SAM")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem