# Image Classification on ImageNet-Seg

Source: [Image Classification on ImageNet-Seg](<https://www.sota2.com/research/sota/image-classification-on-imagenet-seg>)

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

Data updated: 2026-03-09T07:29:29.851Z

Evaluation of Image Classification performance on the ImageNet-Seg dataset, reporting metrics such as Top-1 Accuracy and mAP.

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) | ImageNet-Seg |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-seg.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [mAP](<https://www.sota2.com/research/sota/image-classification-on-imagenet-seg.md?metric=mAP>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Multi-label | 85.5 | Not recorded | 69ae53fa2d603e6de3e42aa8 |
| ReLabel w/ Our Mask | 85.3 | Not recorded | 69ae53fa2d603e6de3e42aa8 |
| ReLabel | 84.8 | Not recorded | 69ae53fa2d603e6de3e42aa8 |
| Original + Label Smooth | 84.4 | Not recorded | 69ae53fa2d603e6de3e42aa8 |
| Original Label | 84.3 | Not recorded | 69ae53fa2d603e6de3e42aa8 |
| LL | 84.3 | Not recorded | 69ae53fa2d603e6de3e42aa8 |

### Multi-label

Top-1 Accuracy: 85.5. Result ID: 69ae765f6dbb7075b956332c.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

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

### ReLabel w/ Our Mask

Top-1 Accuracy: 85.3. Result ID: 69ae765f6dbb7075b956332b.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a751e209131cea2842b.md>)

[Implementation](<https://github.com/naver-ai/relabel_imagenet>)

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

### ReLabel

Top-1 Accuracy: 84.8. Result ID: 69ae765f6dbb7075b956332a.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a751e209131cea2842b.md>)

[Implementation](<https://github.com/naver-ai/relabel_imagenet>)

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

### Original + Label Smooth

Top-1 Accuracy: 84.4. Result ID: 69ae765f6dbb7075b9563328.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61b41e209131ce9f58d2.md>)

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

### Original Label

Top-1 Accuracy: 84.3. Result ID: 69ae765f6dbb7075b9563327.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61b41e209131ce9f58d2.md>)

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

### LL

Top-1 Accuracy: 84.3. Result ID: 69ae765f6dbb7075b9563329.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cb51e209131cea356f9.md>)

[Implementation](<https://github.com/snucml/LargeLossMatters>)

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

Page 1 of 1. This is an index page, not the full collection.
