# Image Classification on ImageNet 100B (Top-1 Accuracy)

Source: [Image Classification on ImageNet 100B (Top-1 Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-100b-top-1-accuracy>)

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

Data updated: 2026-02-26T06:06:57.504Z

Evaluation of Image Classification performance on the ImageNet 100 Billion scale dataset, specifically measured by Top-1 Accuracy.

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 100B |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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-100b-top-1-accuracy.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Ours | 80.09 | Not recorded | 68fa6b171e209131cea2c120 |
| Ours | 78.66 | Not recorded | 68fa6b171e209131cea2c120 |
| Baseline | 69.49 | Not recorded | 68fa6b171e209131cea2c120 |
| Baseline | 67.45 | Not recorded | 68fa6b171e209131cea2c120 |

### Ours

Top-1 Accuracy: 80.09. Result ID: 698e57cdffc3901de09cc7e1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b171e209131cea2c120.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b171e209131cea2c120.md>)

[Implementation](<https://github.com/Sriram-Ravula/Contrastive-Inversion>)

Recorded evaluation configuration: {"Distortion":"Random Missing Pixels (RM)","Evaluation Protocol":"Linear Probing"}. This record does not assert independent reproduction.

### Ours

Top-1 Accuracy: 78.66. Result ID: 698e57cdffc3901de09cc7e3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b171e209131cea2c120.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b171e209131cea2c120.md>)

[Implementation](<https://github.com/Sriram-Ravula/Contrastive-Inversion>)

Recorded evaluation configuration: {"Distortion":"Additive Gaussian Noise (GN)","Evaluation Protocol":"Linear Probing"}. This record does not assert independent reproduction.

### Baseline

Top-1 Accuracy: 69.49. Result ID: 698e57cdffc3901de09cc7e2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b171e209131cea2c120.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66cc1e209131cea1266b.md>)

Recorded evaluation configuration: {"Distortion":"Additive Gaussian Noise (GN)","Evaluation Protocol":"Linear Probing"}. This record does not assert independent reproduction.

### Baseline

Top-1 Accuracy: 67.45. Result ID: 698e57cdffc3901de09cc7e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b171e209131cea2c120.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66cc1e209131cea1266b.md>)

Recorded evaluation configuration: {"Distortion":"Random Missing Pixels (RM)","Evaluation Protocol":"Linear Probing"}. This record does not assert independent reproduction.

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