# Dataset Distillation on ImageNet 100

Source: [Dataset Distillation on ImageNet 100](<https://www.sota2.com/research/sota/dataset-distillation-on-imagenet-100>)

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

Data updated: 2026-05-11T08:33:33.646Z

Evaluation of Dataset Distillation performance on the ImageNet 100 dataset, typically reporting Time, Memory, and 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 | Dataset Distillation |
| Dataset (including any stated split) | ImageNet 100 |
| Metric | Time (s) |
| Unit | TIME |
| Direction | Lower is better |
| Results loaded | 3 of 3 |
| 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

- [Time (s)](<https://www.sota2.com/research/sota/dataset-distillation-on-imagenet-100.md?metric=Time%20(s)>): Lower is better; unit: TIME.

- [Memory (MB)](<https://www.sota2.com/research/sota/dataset-distillation-on-imagenet-100.md?metric=Memory%20(MB)>): Lower is better; unit: SIZE.

- [Accuracy](<https://www.sota2.com/research/sota/dataset-distillation-on-imagenet-100.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Time (s) | Result date | Report paper |
| --- | --- | --- | --- |
| CLP-DD | 4.07 | Not recorded | 6a01625adbc836b87d822ed0 |
| LGM | 4.25 | Not recorded | 6a01625adbc836b87d822ed0 |
| LGM w/ DSA | 57.49 | Not recorded | 6a01625adbc836b87d822ed0 |

### CLP-DD

Time (s): 4.07. Result ID: 6a01944647f34ce924e36d18.

[Reporting paper](<https://www.sota2.com/research/paper/6a01625adbc836b87d822ed0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a01625adbc836b87d822ed0.md>)

Recorded evaluation configuration: {"Backbone":"DINOv2","IPC":"1","Hardware":"NVIDIA RTX 5090 GPU","Batch size":"30"}. This record does not assert independent reproduction.

### LGM

Time (s): 4.25. Result ID: 6a01944647f34ce924e36d17.

[Reporting paper](<https://www.sota2.com/research/paper/6a01625adbc836b87d822ed0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691ff210d6b0dd334292e6dd.md>)

Recorded evaluation configuration: {"Backbone":"DINOv2","IPC":"1","Hardware":"NVIDIA RTX 5090 GPU","Batch size":"30","Augmentation":"None"}. This record does not assert independent reproduction.

### LGM w/ DSA

Time (s): 57.49. Result ID: 6a01944647f34ce924e36d16.

[Reporting paper](<https://www.sota2.com/research/paper/6a01625adbc836b87d822ed0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691ff210d6b0dd334292e6dd.md>)

Recorded evaluation configuration: {"Backbone":"DINOv2","IPC":"1","Hardware":"NVIDIA RTX 5090 GPU","Batch size":"30","Augmentation":"DSA"}. This record does not assert independent reproduction.

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