# Object Detection on OGSOD

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

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

Data updated: 2026-02-26T06:09:36.852Z

Evaluation of Object Detection performance on the OGSOD dataset, reporting standard Average Precision metrics (mAP, mAP50, mAP75).

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) | OGSOD |
| Metric | mAP |
| 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

- [mAP](<https://www.sota2.com/research/sota/object-detection-on-ogsod.md?metric=mAP>): Higher is better; unit: PERCENT.

- [mAP50](<https://www.sota2.com/research/sota/object-detection-on-ogsod.md?metric=mAP50>): Higher is better; unit: PERCENT.

- [mAP75](<https://www.sota2.com/research/sota/object-detection-on-ogsod.md?metric=mAP75>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mAP | Result date | Report paper |
| --- | --- | --- | --- |
| SARATR-X | 52 | Not recorded | 68fa76a71e209131cea6e304 |
| YOLOv7 | 45.1 | Not recorded | 68fa76a71e209131cea6e304 |
| Generalized Focal | 41.8 | Not recorded | 68fa76a71e209131cea6e304 |
| Object Box | 40.1 | Not recorded | 68fa76a71e209131cea6e304 |
| Sparse R-CNN | 38.7 | Not recorded | 68fa76a71e209131cea6e304 |

### SARATR-X

mAP: 52. Result ID: 6994483e3a6c3148491c3f13.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76a71e209131cea6e304.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76a71e209131cea6e304.md>)

[Implementation](<https://github.com/waterdisappear/SARATR-X>)

Recorded evaluation configuration: {"Year":"2024"}. This record does not assert independent reproduction.

### YOLOv7

mAP: 45.1. Result ID: 6994483e3a6c3148491c3f12.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76a71e209131cea6e304.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cfa1e209131cea370e0.md>)

[Implementation](<https://github.com/WongKinYiu/yolov7>)

Recorded evaluation configuration: {"Year":"2022"}. This record does not assert independent reproduction.

### Generalized Focal

mAP: 41.8. Result ID: 6994483e3a6c3148491c3f0f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76a71e209131cea6e304.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa659f1e209131cea0b52a.md>)

[Implementation](<https://www.sota2.com/github.com/yihui-he/KL-Loss>)

Recorded evaluation configuration: {"Year":"2019"}. This record does not assert independent reproduction.

### Object Box

mAP: 40.1. Result ID: 6994483e3a6c3148491c3f11.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76a71e209131cea6e304.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d031e209131cea37555.md>)

Recorded evaluation configuration: {"Year":"2022"}. This record does not assert independent reproduction.

### Sparse R-CNN

mAP: 38.7. Result ID: 6994483e3a6c3148491c3f10.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76a71e209131cea6e304.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69cd1e209131cea24256.md>)

[Implementation](<https://github.com/PeizeSun/SparseR-CNN>)

Recorded evaluation configuration: {"Year":"2021"}. This record does not assert independent reproduction.

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