COCOcap
COCO Captioning - image captioning on MS-COCO dataset.
Category
Multimodal
Score type
index
Scale
150.0
higher is better
Models tested
3
What is COCOcap?
COCOcap is a benchmark for handling several input types together (images, documents, text). The official description says: "COCO Captioning - image captioning on MS-COCO dataset". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
COCOcap measures handling several input types together (images, documents, text). In detail, it checks:
- questions that mix text with images or document pages
- reading and extracting information from screenshots and scans
- understanding layout, titles, logos and figures in real documents
- staying accurate when the text content alone is not enough
How to read the score
The score is a composite index published by the benchmark organiser rather than a plain percentage. Interpret it only against the other models in the table — higher is better.
Official methodology note: COCO Captioning - image captioning on MS-COCO dataset.
Frequently asked questions
What is the COCOcap benchmark?
COCOcap is a benchmark for handling several input types together (images, documents, text). The official description says: 'COCO Captioning - image captioning on MS-COCO dataset'. Below we describe in simple words what benchmarks of this type generally examine.
What does COCOcap test?
COCOcap mainly measures handling several input types together (images, documents, text). Concretely, it checks: questions that mix text with images or document pages; reading and extracting information from screenshots and scans; understanding layout, titles, logos and figures in real documents.
How is the COCOcap score calculated?
The score is a composite index published by the benchmark organiser rather than a plain percentage. Interpret it only against the other models in the table — higher is better. The declared maximum score of this benchmark is 150.0.
Where do I get COCOcap data and scores?
The official source is https://cocodataset.org/#home. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/cococap/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Gemma 3 27B PT
Google DeepMind
|
116 idx
|
27.02.2025 | Report | Verified |
| 2 |
Gemma 3 12B PT
Google DeepMind
|
111 idx
|
27.02.2025 | Report | Verified |
| 3 |
Gemma 3 4B PT
Google DeepMind
|
102 idx
|
27.02.2025 | Report | Verified |