# JIA-Lab-research/LISA

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

Repository: https://github.com/JIA-Lab-research/LISA
Canonical: https://ross.abutalabs.com/products/lisa
Language: Python
License: Apache-2.0
License Family: permissive
Topics: large-language-model, llm, multi-modal, segmentation
Last push: 2025-02-16T13:33:08+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 7, release rhythm 35, longevity 80
- inputs: {"age_days": 1128, "days_push": 563, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2674, forks 206 (observed 2026-08-28T04:07:09.647777+00:00)

## What it is
LISA (Large Language Instructed Segmentation Assistant) is a multimodal large language model that performs reasoning-based image segmentation, producing segmentation masks from complex natural language queries. It combines an LLM with a segmentation model to answer questions like 'segment the object that...' while explaining its reasoning.

## Use cases
- segment objects in an image described by complex reasoning queries
- generate segmentation masks from natural language instructions
- build a multimodal assistant that explains what it segments
- fine-tune a vision-language model for segmentation tasks
- run a local demo of LLM-driven image segmentation
- research reasoning segmentation with the LISA++ dataset

## When to avoid
- you only need classic promptable segmentation like SAM with point or box prompts
- you lack GPU resources for large multimodal model inference
- you need a lightweight production segmentation pipeline without LLM overhead

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, computer-vision, image-processing, llm-inference, nlp
- domain: computer-vision, large-language-models, machine-learning, artificial-intelligence, image-processing
- platform: python, cross-platform
- tags: segmentation, multimodal, vision-language-model, reasoning-segmentation, gradio-demo, research, linux, gpu

## Member repositories
- JIA-Lab-research/LISA (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:09.647777+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:18:03.219177+00:00, confidence not recorded.
  - readme: https://github.com/JIA-Lab-research/LISA (fetched 2026-08-28T04:07:09.647777+00:00, sha 249244aff5ce)
- Data as of 2026-08-30T08:39:29.467469+00:00.