# Cloud Segmentation on SWINSEG Nighttime

Source: [Cloud Segmentation on SWINSEG Nighttime](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime>)

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

Data updated: 2026-02-26T05:58:21.592Z

Evaluation of Cloud Segmentation performance on the SWINSEG Nighttime dataset, reporting metrics such as Precision, Recall, F1-Score, MIOU, and MCC.

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 | Cloud Segmentation |
| Dataset (including any stated split) | SWINSEG Nighttime |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1-Score](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime.md?metric=F1-Score>): Higher is better; unit: PERCENT.

- [Error Rate](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime.md?metric=Error%20Rate>): Lower is better; unit: PERCENT.

- [mIoU](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [MCC](<https://www.sota2.com/research/sota/cloud-segmentation-on-swinseg-nighttime.md?metric=MCC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| CloudU-Net | 94.3 | Not recorded | 68fa6d021e209131cea3744f |
| CloudSegNet | 93.2 | Not recorded | 68fa6d021e209131cea3744f |
| ACLNet | 91.7 | Not recorded | 68fa6d021e209131cea3744f |
| CloudSegNet | 89.1 | Not recorded | 68fa6d021e209131cea3744f |
| DeepLabv3+ | 86.4 | Not recorded | 68fa6d021e209131cea3744f |
| U-Net | 69.3 | Not recorded | 68fa6d021e209131cea3744f |
| FCN | 42.3 | Not recorded | 68fa6d021e209131cea3744f |

### CloudU-Net

Precision: 94.3. Result ID: 698f78183a6c314849f8d98b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CloudSegNet

Precision: 93.2. Result ID: 698f78183a6c314849f8d98f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa3b301e209131ce8d0eba.md>)

Recorded evaluation configuration: {"clustering":true}. This record does not assert independent reproduction.

### ACLNet

Precision: 91.7. Result ID: 698f78183a6c314849f8d990.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

[Implementation](<https://github.com/ckmvigil/ACLNet>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CloudSegNet

Precision: 89.1. Result ID: 698f78183a6c314849f8d98e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa3b301e209131ce8d0eba.md>)

Recorded evaluation configuration: {"clustering":false}. This record does not assert independent reproduction.

### DeepLabv3+

Precision: 86.4. Result ID: 698f78183a6c314849f8d98c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64b91e209131cea06121.md>)

[Implementation](<https://github.com/tensorflow/models/tree/master/research/deeplab>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### U-Net

Precision: 69.3. Result ID: 698f78183a6c314849f8d98d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FCN

Precision: 42.3. Result ID: 698f78183a6c314849f8d98a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d021e209131cea3744f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61b81e209131ce9f5b6a.md>)

[Implementation](<https://github.com/BVLC/caffe/wiki/Model-Zoo#fcn>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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