# Object Detection on Fashion (test)

Source: [Object Detection on Fashion (test)](<https://www.sota2.com/research/sota/object-detection-on-fashion-test>)

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

Data updated: 2026-02-26T05:58:49.775Z

Evaluation of Object Detection performance on the test split of the Fashion dataset.

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) | Fashion (test) |
| Metric | Precision @ R=0.5 |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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 @ R=0.5](<https://www.sota2.com/research/sota/object-detection-on-fashion-test.md?metric=Precision%20%40%20R%3D0.5>): Higher is better; unit: PERCENT.

- [Precision @ R=0.7](<https://www.sota2.com/research/sota/object-detection-on-fashion-test.md?metric=Precision%20%40%20R%3D0.7>): Higher is better; unit: PERCENT.

- [Precision @ R=0.9](<https://www.sota2.com/research/sota/object-detection-on-fashion-test.md?metric=Precision%20%40%20R%3D0.9>): Higher is better; unit: PERCENT.

- [mAP @ IoU=0.70](<https://www.sota2.com/research/sota/object-detection-on-fashion-test.md?metric=mAP%20%40%20IoU%3D0.70>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision @ R=0.5 | Result date | Report paper |
| --- | --- | --- | --- |
| CDSSD | 98.4 | Not recorded | 68fa64871e209131cea0531b |
| SSD | 84.6 | Not recorded | 68fa64871e209131cea0531b |
| YOLO | 81.9 | Not recorded | 68fa64871e209131cea0531b |

### CDSSD

Precision @ R=0.5: 98.4. Result ID: 698c4b1737894ef7d9cd4cbf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0531b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0531b.md>)

Recorded evaluation configuration: {"Training Data":"07+12"}. This record does not assert independent reproduction.

### SSD

Precision @ R=0.5: 84.6. Result ID: 698c4b1737894ef7d9cd4cbe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0531b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63171e209131ce9fc966.md>)

Recorded evaluation configuration: {"Training Data":"07+12"}. This record does not assert independent reproduction.

### YOLO

Precision @ R=0.5: 81.9. Result ID: 698c4b1737894ef7d9cd4cbd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0531b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63091e209131ce9fc889.md>)

[Implementation](<https://github.com/weiliu89/caffe/tree/ssd>)

Recorded evaluation configuration: {"Training Data":"07+12"}. This record does not assert independent reproduction.

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