# REC on ColonINST (unseen)

Source: [REC on ColonINST (unseen)](<https://www.sota2.com/research/sota/rec-on-coloninst-unseen>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:47:18.254Z

Evaluation of REC performance on the unseen split of the ColonINST dataset, reporting IoU.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | REC |
| Dataset (including any stated split) | ColonINST (unseen) |
| Metric | IoU |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 17 of 17 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [IoU](<https://www.sota2.com/research/sota/rec-on-coloninst-unseen.md?metric=IoU>): Higher is better; unit: SCALAR.

## Recorded results

| Method | IoU | Result date | Report paper |
| --- | --- | --- | --- |
| ColonGPT | 0.5624 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-v1.5 | 0.4231 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-Med-v1.5 | 0.4197 | Not recorded | 68fa7b831e209131cea88cd0 |
| Bunny-v1.0-3B | 0.4148 | Not recorded | 68fa7b831e209131cea88cd0 |
| MobileVLM-1.7B | 0.348 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-v1.5 | 0.3432 | Not recorded | 68fa7b831e209131cea88cd0 |
| MobileVLM-1.7B | 0.3146 | Not recorded | 68fa7b831e209131cea88cd0 |
| Bunny-v1.0-3B | 0.3124 | Not recorded | 68fa7b831e209131cea88cd0 |
| MiniGPT-v2 | 0.3113 | Not recorded | 68fa7b831e209131cea88cd0 |
| MGM-2B | 0.2523 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-Med-v1.0 | 0.2489 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-Med-v1.0 | 0.2085 | Not recorded | 68fa7b831e209131cea88cd0 |
| MGM-2B | 0.16 | Not recorded | 68fa7b831e209131cea88cd0 |
| MiniGPT-v2 | 0.1536 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-Med-v1.5 | 0.1295 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-v1 | 0.1272 | Not recorded | 68fa7b831e209131cea88cd0 |
| LLaVA-v1 | 0.0324 | Not recorded | 68fa7b831e209131cea88cd0 |

### ColonGPT

IoU: 0.5624. Result ID: 698b865d7a967eddb76f4fa1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Implementation](<https://github.com/ai4colonoscopy/IntelliScope>)

Recorded evaluation configuration: {"Visual encoder":"SigLIP-SO (384px)","Language model":"Phi1.5 (1.3B)","LoRA":false,"EXT":false}. This record does not assert independent reproduction.

### LLaVA-v1.5

IoU: 0.4231. Result ID: 698b865d7a967eddb76f4f96.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa732e1e209131cea5af59.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (336px)","Language model":"Vicuna-v1.5 (7B)","LoRA":true,"EXT":true}. This record does not assert independent reproduction.

### LLaVA-Med-v1.5

IoU: 0.4197. Result ID: 698b865d7a967eddb76f4f9f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea46356.md>)

[Implementation](<https://aka.ms/llava-med>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (224px)","Language model":"Mistral-v0.2 (7B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### Bunny-v1.0-3B

IoU: 0.4148. Result ID: 698b865d7a967eddb76f4f98.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60750.md>)

[Implementation](<https://github.com/BAAI-DCAI/Bunny>)

Recorded evaluation configuration: {"Visual encoder":"SigLIP-SO (384px)","Language model":"Phi2 (2.7B)","LoRA":true,"EXT":true}. This record does not assert independent reproduction.

### MobileVLM-1.7B

IoU: 0.348. Result ID: 698b865d7a967eddb76f4f9c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71a71e209131cea52555.md>)

[Implementation](<https://github.com/Meituan-AutoML/MobileVLM>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (336px)","Language model":"MobileLLaMA (1.4B)","LoRA":true,"EXT":true}. This record does not assert independent reproduction.

### LLaVA-v1.5

IoU: 0.3432. Result ID: 698b865d7a967eddb76f4f95.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa732e1e209131cea5af59.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (336px)","Language model":"Vicuna-v1.5 (7B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### MobileVLM-1.7B

IoU: 0.3146. Result ID: 698b865d7a967eddb76f4f9b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71a71e209131cea52555.md>)

[Implementation](<https://github.com/Meituan-AutoML/MobileVLM>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (336px)","Language model":"MobileLLaMA (1.4B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### Bunny-v1.0-3B

IoU: 0.3124. Result ID: 698b865d7a967eddb76f4f97.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60750.md>)

[Implementation](<https://github.com/BAAI-DCAI/Bunny>)

Recorded evaluation configuration: {"Visual encoder":"SigLIP-SO (384px)","Language model":"Phi2 (2.7B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### MiniGPT-v2

IoU: 0.3113. Result ID: 698b865d7a967eddb76f4f92.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71251e209131cea4f7e5.md>)

[Implementation](<https://minigpt-v2.github.io/>)

Recorded evaluation configuration: {"Visual encoder":"EVA-G/14 (448px)","Language model":"LLaMA2 (7B)","LoRA":true,"EXT":true}. This record does not assert independent reproduction.

### MGM-2B

IoU: 0.2523. Result ID: 698b865d7a967eddb76f4f9a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ab1e209131cea57bca.md>)

[Implementation](<https://github.com/dvlab-research/MiniGemini>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (336px) & ConvNeXt-L (768px)","Language model":"Gemma (2B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### LLaVA-Med-v1.0

IoU: 0.2489. Result ID: 698b865d7a967eddb76f4f9d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea46356.md>)

[Implementation](<https://aka.ms/llava-med>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (224px)","Language model":"LLaMA1 (7B)","LoRA":false,"EXT":false}. This record does not assert independent reproduction.

### LLaVA-Med-v1.0

IoU: 0.2085. Result ID: 698b865d7a967eddb76f4f9e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea46356.md>)

[Implementation](<https://aka.ms/llava-med>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (224px)","Language model":"LLaMA1 (7B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### MGM-2B

IoU: 0.16. Result ID: 698b865d7a967eddb76f4f99.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ab1e209131cea57bca.md>)

[Implementation](<https://github.com/dvlab-research/MiniGemini>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (336px) & ConvNeXt-L (768px)","Language model":"Gemma (2B)","LoRA":false,"EXT":false}. This record does not assert independent reproduction.

### MiniGPT-v2

IoU: 0.1536. Result ID: 698b865d7a967eddb76f4f91.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71251e209131cea4f7e5.md>)

[Implementation](<https://minigpt-v2.github.io/>)

Recorded evaluation configuration: {"Visual encoder":"EVA-G/14 (448px)","Language model":"LLaMA2 (7B)","LoRA":false,"EXT":false}. This record does not assert independent reproduction.

### LLaVA-Med-v1.5

IoU: 0.1295. Result ID: 698b865d7a967eddb76f4fa0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea46356.md>)

[Implementation](<https://aka.ms/llava-med>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (224px)","Language model":"Mistral-v0.2 (7B)","LoRA":false,"EXT":false}. This record does not assert independent reproduction.

### LLaVA-v1

IoU: 0.1272. Result ID: 698b865d7a967eddb76f4f93.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (224px)","Language model":"Vicuna-v1.3 (7B)","LoRA":true,"EXT":false}. This record does not assert independent reproduction.

### LLaVA-v1

IoU: 0.0324. Result ID: 698b865d7a967eddb76f4f94.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b831e209131cea88cd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Visual encoder":"CLIP-L/14 (224px)","Language model":"Vicuna-v1.3 (7B)","LoRA":true,"EXT":true}. This record does not assert independent reproduction.

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