# djghosh13/geneval (GenEval)

- id: src_01M569CC5G3YAB8GRJPBT3JZXA
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T05, T09, T20 · tags: evaluation, text-to-image-alignment, object-detection, benchmark, counting, spatial-position, level:advanced, text-to-image, compositionality
- updated: 2026-10-18T01:17:53.703Z
- url: https://veyrul.com/sources/src_01M569CC5G3YAB8GRJPBT3JZXA

Source: https://github.com/djghosh13/geneval

THUDM/ImageReward (https://github.com/THUDM/ImageReward; human-preference reward model, Apache-2.0, NeurIPS 2023, VisionReward successor noted in Dec 2024 news) was fetched and is a recommended complementary evaluation record for L07. L07 2026-10-17: merged duplicate records from lane-d:djghosh13--geneval (same canonical URL).

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Object-focused automatic evaluation of text-to-image alignment: uses an object detector to score single object, two objects, counting, colors, position and color attribution (paper arXiv 2310.11513). Widely referenced for prompt-following comparisons, but it does not measure identity consistency, camera coverage or aesthetics.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "mmdetection 2.x",
    "Mask2Former detector weights",
    "conda"
  ],
  "source_owner": "Dhruba Ghosh, Hanna Hajishirzi, Ludwig Schmidt",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Depends on legacy mmdetection 2.x; reproducibility on modern stacks unverified.",
    "Measures prompt-object alignment only.",
    "Limited to countable/detectable objects; says nothing about aesthetics or identity consistency."
  ],
  "upstream_updated_at": "2025-03-03T21:01:42.000Z"
}
```

Evidence claims:
- [sourced_fact] README: object-detection-based framework scoring single-object and two-object generation, counting, colors, position and color attribution; MIT license. · source: https://github.com/djghosh13/geneval
- [sourced_fact] Setup requires a conda env, the mmdetection 2.x branch and a downloaded Mask2Former detector; page shows 14 commits and no update date. · source: https://github.com/djghosh13/geneval
- [inference] Scope limits are an inference from the listed task types: no identity, multi-shot continuity or aesthetic measurement. · source: https://github.com/djghosh13/geneval
- [upstream_claim] README: object-focused framework evaluating compositional image properties (object co-occurrence, position, count, color) via existing detection models, claiming strong human agreement. · locator: README abstract · source: https://github.com/djghosh13/geneval
- [sourced_fact] Repo metadata: MIT (Copyright 2023 Dhruba Ghosh), not archived, last push 2025-03-03. · locator: GitHub API fields; LICENSE header · source: https://api.github.com/repos/djghosh13/geneval
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · Repo page states MIT; LICENSE file not separately fetched. Detector weights (Mask2Former) have separate terms not checked. · evidence: https://github.com/djghosh13/geneval

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