# Object Detection on Street View deblurring dataset 1.0 (test)

Source: [Object Detection on Street View deblurring dataset 1.0 (test)](<https://www.sota2.com/research/sota/object-detection-on-street-view-deblurring-dataset-1-0-test>)

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

Data updated: 2026-02-26T05:58:13.297Z

Evaluation of Object Detection performance on the test split of the Street View deblurring dataset version 1.0, reporting Precision, Recall, and F1 score.

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 | Object Detection |
| Dataset (including any stated split) | Street View deblurring dataset 1.0 (test) |
| Metric | Precision |
| Unit | PERCENT |
| 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

- [Precision](<https://www.sota2.com/research/sota/object-detection-on-street-view-deblurring-dataset-1-0-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/object-detection-on-street-view-deblurring-dataset-1-0-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/object-detection-on-street-view-deblurring-dataset-1-0-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| Nah et al. | 83.4 | Not recorded | 68fa64311e209131cea0363c |
| no deblur | 82.1 | Not recorded | 68fa64311e209131cea0363c |
| DeblurGAN | 80.1 | Not recorded | 68fa64311e209131cea0363c |
| DeblurGAN | 76.4 | Not recorded | 68fa64311e209131cea0363c |
| DeblurGAN | 67.1 | Not recorded | 68fa64311e209131cea0363c |

### Nah et al.

Precision: 83.4. Result ID: 698c199af729bc7f68e846b2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64511e209131cea04087.md>)

[Implementation](<https://github.com/SeungjunNah/DeepDeblur_release>)

Recorded evaluation configuration: {"Detector":"YOLO \[30\]"}. This record does not assert independent reproduction.

### no deblur

Precision: 82.1. Result ID: 698c199af729bc7f68e846b1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

Recorded evaluation configuration: {"Detector":"YOLO \[30\]"}. This record does not assert independent reproduction.

### DeblurGAN

Precision: 80.1. Result ID: 698c199af729bc7f68e846b4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Implementation](<https://github.com/KupynOrest/DeblurGAN>)

Recorded evaluation configuration: {"Detector":"YOLO \[30\]","Training Data":"synth"}. This record does not assert independent reproduction.

### DeblurGAN

Precision: 76.4. Result ID: 698c199af729bc7f68e846b3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Implementation](<https://github.com/KupynOrest/DeblurGAN>)

Recorded evaluation configuration: {"Detector":"YOLO \[30\]","Training Data":"WILD"}. This record does not assert independent reproduction.

### DeblurGAN

Precision: 67.1. Result ID: 698c199af729bc7f68e846b5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64311e209131cea0363c.md>)

[Implementation](<https://github.com/KupynOrest/DeblurGAN>)

Recorded evaluation configuration: {"Detector":"YOLO \[30\]","Training Data":"comb"}. This record does not assert independent reproduction.

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