# Image Classification on TinyImageNet (1st Transition)

Source: [Image Classification on TinyImageNet (1st Transition)](<https://www.sota2.com/research/sota/image-classification-on-tinyimagenet-1st-transition>)

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

Data updated: 2026-06-09T09:23:52.563Z

Evaluation of Image Classification performance on the specific '1st Transition' subset or session of the TinyImageNet dataset, reporting accuracy metrics.

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) | TinyImageNet (1st Transition) |
| Metric | Proposed 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

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

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

## Recorded results

| Method | Proposed Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Algorithm 1 | 92.27 | Not recorded | 68fa79061e209131cea7bc24 |
| Algorithm 1 | 80.72 | Not recorded | 68fa79061e209131cea7bc24 |

### Algorithm 1

Proposed Accuracy: 92.27. Result ID: 6a27db5cfbc373592c24e9b6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79061e209131cea7bc24.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79061e209131cea7bc24.md>)

Recorded evaluation configuration: {"Label Distribution":"Partial-Overlap","Model":"ResNet34","FL Algorithm":"FedAvg","Number of Clients":"20"}. This record does not assert independent reproduction.

### Algorithm 1

Proposed Accuracy: 80.72. Result ID: 6a27db5cfbc373592c24e9b4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79061e209131cea7bc24.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79061e209131cea7bc24.md>)

Recorded evaluation configuration: {"Label Distribution":"Half","Model":"ResNet34","FL Algorithm":"FedAvg","Number of Clients":"20"}. This record does not assert independent reproduction.

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