RRepoGEO

REPOGEO REPORT · LITE

isl-org/lang-seg

Default branch main · commit bb00b219 · scanned 6/5/2026, 10:27:49 PM

GitHub: 829 stars · 98 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface isl-org/lang-seg, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    semantic-segmentation, computer-vision, pytorch, deep-learning, natural-language-processing, open-vocabulary, language-driven
  • highreadme#2
    Insert a concise, keyword-rich introductory sentence after the maintenance warning

    Why:

    CURRENT
    If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.

# Language-driven Semantic Segmentation (LSeg)
    COPY-PASTE FIX
    If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.

This repository provides the official PyTorch implementation for LSeg, a pioneering model for open-vocabulary, language-driven semantic image segmentation.

# Language-driven Semantic Segmentation (LSeg)
  • mediumhomepage#3
    Add the official paper URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://openreview.net/forum?id=f_0Z_y_2_j_

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface isl-org/lang-seg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SAM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SAM · recommended 1×
  2. CLIP · recommended 1×
  3. Grounding DINO · recommended 1×
  4. OWL-ViT · recommended 1×
  5. Mask2Former · recommended 1×
  • CATEGORY QUERY
    How to segment images semantically using descriptive text labels for object recognition?
    you: not recommended
    AI recommended (in order):
    1. SAM
    2. CLIP
    3. Grounding DINO
    4. OWL-ViT
    5. Mask2Former
    6. OneFormer
    7. Lang-SAM
    8. SEEM
    9. CLIPSeg
    10. GPT-4o
    11. Gemini 1.5 Pro

    AI recommended 11 alternatives but never named isl-org/lang-seg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a PyTorch framework to do pixel-level image classification guided by text prompts.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. 🤗 Diffusers (huggingface/diffusers)
    3. segment-anything (facebookresearch/segment-anything)
    4. PyTorch-Lightning (Lightning-AI/pytorch-lightning)
    5. Detectron2 (facebookresearch/detectron2)
    6. MMDetection (open-mmlab/mmdetection)
    7. MMSegmentation (open-mmlab/mmsegmentation)
    8. OpenMMLab's MMEngine (open-mmlab/mmengine)

    AI recommended 8 alternatives but never named isl-org/lang-seg. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of isl-org/lang-seg?
    pass
    AI named isl-org/lang-seg explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts isl-org/lang-seg in production, what risks or prerequisites should they evaluate first?
    pass
    AI named isl-org/lang-seg explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo isl-org/lang-seg solve, and who is the primary audience?
    pass
    AI named isl-org/lang-seg explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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isl-org/lang-seg — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite