# Image Classification on Clothing1M clean 1.0 (test)

Source: [Image Classification on Clothing1M clean 1.0 (test)](<https://www.sota2.com/research/sota/image-classification-on-clothing1m-clean-1-0-test>)

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

Data updated: 2026-02-26T05:28:27.378Z

Evaluation of Image Classification performance on the test split of the Clothing1M clean 1.0 dataset.

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 | Image Classification |
| Dataset (including any stated split) | Clothing1M clean 1.0 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-clothing1m-clean-1-0-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| TSCSI\_IDN | 75.4 | Not recorded | 68fa6d221e209131cea38096 |
| DivideMix | 74.76 | Not recorded | 68fa6d221e209131cea38096 |
| CAL | 74.17 | Not recorded | 68fa6d221e209131cea38096 |
| CORES² | 73.24 | Not recorded | 68fa6d221e209131cea38096 |
| LDMI | 72.46 | Not recorded | 68fa6d221e209131cea38096 |
| PTD-R-V | 71.67 | Not recorded | 68fa6d221e209131cea38096 |
| Forward T | 70.83 | Not recorded | 68fa6d221e209131cea38096 |
| JoCoR | 70.3 | Not recorded | 68fa6d221e209131cea38096 |
| Co-teaching | 69.21 | Not recorded | 68fa6d221e209131cea38096 |
| CE (standard) | 68.94 | Not recorded | 68fa6d221e209131cea38096 |

### TSCSI\_IDN

Accuracy: 75.4. Result ID: 698f949d3a6c314849fa45e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Implementation](<https://github.com/uitrbn/TSCSI_IDN>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### DivideMix

Accuracy: 74.76. Result ID: 698f949d3a6c314849fa45dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671c1e209131cea144cf.md>)

[Implementation](<https://github.com/LiJunnan1992/DivideMix>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### CAL

Accuracy: 74.17. Result ID: 698f949d3a6c314849fa45df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69991e209131cea22f22.md>)

[Implementation](<https://github.com/UCSC-REAL/CAL>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### CORES²

Accuracy: 73.24. Result ID: 698f949d3a6c314849fa45de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Implementation](<https://github.com/UCSC-REAL/cores>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### LDMI

Accuracy: 72.46. Result ID: 698f949d3a6c314849fa45db.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### PTD-R-V

Accuracy: 71.67. Result ID: 698f949d3a6c314849fa45dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68d51e209131cea1e7da.md>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### Forward T

Accuracy: 70.83. Result ID: 698f949d3a6c314849fa45d8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63321e209131ce9fd4c8.md>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### JoCoR

Accuracy: 70.3. Result ID: 698f949d3a6c314849fa45da.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67711e209131cea164c7.md>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### Co-teaching

Accuracy: 69.21. Result ID: 698f949d3a6c314849fa45d9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64fe1e209131cea07aa4.md>)

[Implementation](<https://github.com/bhanML/Co-teaching>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

### CE (standard)

Accuracy: 68.94. Result ID: 698f949d3a6c314849fa45d7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d221e209131cea38096.md>)

Recorded evaluation configuration: {"backbone":"ResNet-50","pre-training":"ImageNet"}. This record does not assert independent reproduction.

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