# Object Detection on VOCSDS (test)

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

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

Data updated: 2026-02-26T05:23:11.972Z

Evaluation of Object Detection performance on the test split of the PASCAL VOC Segmentation Detection Set (VOCSDS).

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) | VOCSDS (test) |
| Metric | AP BBox |
| 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

- [AP BBox](<https://www.sota2.com/research/sota/object-detection-on-vocsds-test.md?metric=AP%20BBox>): Higher is better; unit: PERCENT.

- [AP BBox 50](<https://www.sota2.com/research/sota/object-detection-on-vocsds-test.md?metric=AP%20BBox%2050>): Higher is better; unit: PERCENT.

- [AP BBox 75](<https://www.sota2.com/research/sota/object-detection-on-vocsds-test.md?metric=AP%20BBox%2075>): Higher is better; unit: PERCENT.

## Recorded results

| Method | AP BBox | Result date | Report paper |
| --- | --- | --- | --- |
| Mask R-CNN + appearance consistency heatmap guided InstaBoost | 42.23 | Not recorded | 68fa66381e209131cea0ee47 |
| Mask R-CNN + random InstaBoost | 41.76 | Not recorded | 68fa66381e209131cea0ee47 |
| Mask R-CNN | 38.06 | Not recorded | 68fa66381e209131cea0ee47 |

### Mask R-CNN + appearance consistency heatmap guided InstaBoost

AP BBox: 42.23. Result ID: 698ce1fe8b517eb4331d6779.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66381e209131cea0ee47.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66381e209131cea0ee47.md>)

[Implementation](<https://github.com/GothicAi/InstaBoost>)

Recorded evaluation configuration: {"Augmentation":"map guided","Backbone":"ResNet-50-FPN"}. This record does not assert independent reproduction.

### Mask R-CNN + random InstaBoost

AP BBox: 41.76. Result ID: 698ce1fe8b517eb4331d6778.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66381e209131cea0ee47.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66381e209131cea0ee47.md>)

[Implementation](<https://github.com/GothicAi/InstaBoost>)

Recorded evaluation configuration: {"Augmentation":"jitter","Backbone":"ResNet-50-FPN"}. This record does not assert independent reproduction.

### Mask R-CNN

AP BBox: 38.06. Result ID: 698ce1fe8b517eb4331d6777.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66381e209131cea0ee47.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63f21e209131cea01b22.md>)

[Implementation](<https://github.com/facebookresearch/Detectron>)

Recorded evaluation configuration: {"Augmentation":"vanilla","Backbone":"ResNet-50-FPN"}. This record does not assert independent reproduction.

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