# Picture quality prediction on KonIQ 10K (val)

Source: [Picture quality prediction on KonIQ 10K (val)](<https://www.sota2.com/research/sota/picture-quality-prediction-on-koniq-10k-val>)

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

Data updated: 2026-02-26T06:03:11.526Z

Evaluation of image quality prediction performance on the validation split of the KonIQ-10K dataset, typically measured using correlation metrics like SRCC and LCC.

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 | Picture quality prediction |
| Dataset (including any stated split) | KonIQ 10K (val) |
| Metric | SRCC |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [SRCC](<https://www.sota2.com/research/sota/picture-quality-prediction-on-koniq-10k-val.md?metric=SRCC>): Higher is better; unit: SCALAR.

- [LCC](<https://www.sota2.com/research/sota/picture-quality-prediction-on-koniq-10k-val.md?metric=LCC>): Higher is better; unit: SCALAR.

## Recorded results

| Method | SRCC | Result date | Report paper |
| --- | --- | --- | --- |
| Feedback Model | 0.788 | Not recorded | 68fa66d51e209131cea12c2a |
| RoIPool Model | 0.776 | Not recorded | 68fa66d51e209131cea12c2a |
| Baseline Model | 0.753 | Not recorded | 68fa66d51e209131cea12c2a |
| NIMA(ResNet 18) | 0.707 | Not recorded | 68fa66d51e209131cea12c2a |
| NIMA(MobileNet v2) | 0.666 | Not recorded | 68fa66d51e209131cea12c2a |

### Feedback Model

SRCC: 0.788. Result ID: 698d0c238b517eb4331e988c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","trained\_on":"PaQ-2-PiQ","fine-tuning":false}. This record does not assert independent reproduction.

### RoIPool Model

SRCC: 0.776. Result ID: 698d0c238b517eb4331e988b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","trained\_on":"PaQ-2-PiQ","fine-tuning":false}. This record does not assert independent reproduction.

### Baseline Model

SRCC: 0.753. Result ID: 698d0c238b517eb4331e988a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","trained\_on":"PaQ-2-PiQ","fine-tuning":false}. This record does not assert independent reproduction.

### NIMA(ResNet 18)

SRCC: 0.707. Result ID: 698d0c238b517eb4331e9889.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64891e209131cea05499.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","trained\_on":"PaQ-2-PiQ","fine-tuning":false}. This record does not assert independent reproduction.

### NIMA(MobileNet v2)

SRCC: 0.666. Result ID: 698d0c238b517eb4331e9888.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64891e209131cea05499.md>)

Recorded evaluation configuration: {"Backbone":"MobileNet v2","trained\_on":"PaQ-2-PiQ","fine-tuning":false}. This record does not assert independent reproduction.

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