# Object Detection on nuScenes 5% labels (val)

Source: [Object Detection on nuScenes 5% labels (val)](<https://www.sota2.com/research/sota/object-detection-on-nuscenes-5-percent-labels-val>)

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

Data updated: 2026-03-20T09:33:33.644Z

Evaluation of standard 2D Object Detection performance on the specific 5% labeled subset of the nuScenes validation split, reporting metrics like mAP and NDS.

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) | nuScenes 5% labels (val) |
| 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-nuscenes-5-percent-labels-val.md?metric=mAP>): Higher is better; unit: PERCENT.

- [NDS](<https://www.sota2.com/research/sota/object-detection-on-nuscenes-5-percent-labels-val.md?metric=NDS>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mAP | Result date | Report paper |
| --- | --- | --- | --- |
| CMCR | 46.6 | Not recorded | 68fa7ac21e209131cea85082 |
| CSC | 45.3 | Not recorded | 68fa7ac21e209131cea85082 |
| TriCC | 44.6 | Not recorded | 68fa7ac21e209131cea85082 |
| SLidR | 43.3 | Not recorded | 68fa7ac21e209131cea85082 |
| No Pre-training | 38 | Not recorded | 68fa7ac21e209131cea85082 |

### CMCR

mAP: 46.6. Result ID: 69bd143a47f34ce924a777b9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ac21e209131cea85082.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7ac21e209131cea85082.md>)

Recorded evaluation configuration: {"Labeling Percentage":"5%","Fine-tuning":"true"}. This record does not assert independent reproduction.

### CSC

mAP: 45.3. Result ID: 69bd143a47f34ce924a777b8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ac21e209131cea85082.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73351e209131cea5b2ab.md>)

Recorded evaluation configuration: {"Labeling Percentage":"5%","Fine-tuning":"true"}. This record does not assert independent reproduction.

### TriCC

mAP: 44.6. Result ID: 69bd143a47f34ce924a777b7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ac21e209131cea85082.md>)

Recorded evaluation configuration: {"Labeling Percentage":"5%","Fine-tuning":"true"}. This record does not assert independent reproduction.

### SLidR

mAP: 43.3. Result ID: 69bd143a47f34ce924a777b6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ac21e209131cea85082.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c191e209131cea3226f.md>)

Recorded evaluation configuration: {"Labeling Percentage":"5%","Fine-tuning":"true"}. This record does not assert independent reproduction.

### No Pre-training

mAP: 38. Result ID: 69bd143a47f34ce924a777b5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ac21e209131cea85082.md>)

Recorded evaluation configuration: {"Labeling Percentage":"5%","Fine-tuning":"true"}. This record does not assert independent reproduction.

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