# Object Detection on MS-COCO 80 classes total (20 novel) (val)

Source: [Object Detection on MS-COCO 80 classes total (20 novel) (val)](<https://www.sota2.com/research/sota/object-detection-on-ms-coco-80-classes-total-20-novel-val>)

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

Data updated: 2026-02-26T05:22:59.531Z

Evaluation of Object Detection performance on the MS-COCO validation set, specifically detailing the scope as 80 total classes, including 20 novel classes.

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) | MS-COCO 80 classes total (20 novel) (val) |
| Metric | AP |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 0 of 0 |
| 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](<https://www.sota2.com/research/sota/object-detection-on-ms-coco-80-classes-total-20-novel-val.md?metric=AP>): Higher is better; unit: PERCENT.

- [AP50](<https://www.sota2.com/research/sota/object-detection-on-ms-coco-80-classes-total-20-novel-val.md?metric=AP50>): Higher is better; unit: PERCENT.

## Recorded results

| Method | AP | Result date | Report paper |
| --- | --- | --- | --- |

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