# Image Retrieval on ImageNet-100 (val)

Source: [Image Retrieval on ImageNet-100 (val)](<https://www.sota2.com/research/sota/image-retrieval-on-imagenet-100-val>)

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

Data updated: 2026-02-26T06:07:02.218Z

Evaluation of Image Retrieval performance on the validation split of the ImageNet-100 dataset, measured using 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 Retrieval |
| Dataset (including any stated split) | ImageNet 100 (val) |
| Metric | Top-1 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

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-retrieval-on-imagenet-100-val.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Places | 57.04 | Not recorded | 68fa71b91e209131cea52c9a |
| LLMs (w/o GPT-4) + S-21k | 43.4 | Not recorded | 68fa71b91e209131cea52c9a |
| LLMs (w/ GPT-4) + S-21k | 43.36 | Not recorded | 68fa71b91e209131cea52c9a |
| S-21k | 43.24 | Not recorded | 68fa71b91e209131cea52c9a |
| StyleGAN O | 33 | Not recorded | 68fa71b91e209131cea52c9a |
| LLMs (w/ GPT-4) | 27.44 | Not recorded | 68fa71b91e209131cea52c9a |
| LLMs (w/o GPT-4) | 22.42 | Not recorded | 68fa71b91e209131cea52c9a |
| FractalDB-1k | 17.24 | Not recorded | 68fa71b91e209131cea52c9a |
| Dead-leaves | 12.76 | Not recorded | 68fa71b91e209131cea52c9a |
| Random Initialization | 4.28 | Not recorded | 68fa71b91e209131cea52c9a |

### Places

Top-1 Accuracy: 57.04. Result ID: 6991dd523a6c3148490b1511.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"Places","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### LLMs (w/o GPT-4) + S-21k

Top-1 Accuracy: 43.4. Result ID: 6991dd523a6c3148490b1518.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Implementation](<https://vision-checkup.github.io/>)

Recorded evaluation configuration: {"Pre-training Dataset":"LLM (w/o GPT-4) combined with Shaders-21k","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### LLMs (w/ GPT-4) + S-21k

Top-1 Accuracy: 43.36. Result ID: 6991dd523a6c3148490b1519.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Implementation](<https://vision-checkup.github.io/>)

Recorded evaluation configuration: {"Pre-training Dataset":"LLM (w/ GPT-4) combined with Shaders-21k","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### S-21k

Top-1 Accuracy: 43.24. Result ID: 6991dd523a6c3148490b1515.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71251e209131cea4f787.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"S-21k","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### StyleGAN O

Top-1 Accuracy: 33. Result ID: 6991dd523a6c3148490b1514.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c611e209131cea33b57.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"StyleGAN O","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### LLMs (w/ GPT-4)

Top-1 Accuracy: 27.44. Result ID: 6991dd523a6c3148490b1517.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Implementation](<https://vision-checkup.github.io/>)

Recorded evaluation configuration: {"Pre-training Dataset":"LLM-generated images (including GPT-4)","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### LLMs (w/o GPT-4)

Top-1 Accuracy: 22.42. Result ID: 6991dd523a6c3148490b1516.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Implementation](<https://vision-checkup.github.io/>)

Recorded evaluation configuration: {"Pre-training Dataset":"LLM-generated images (excluding GPT-4)","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### FractalDB-1k

Top-1 Accuracy: 17.24. Result ID: 6991dd523a6c3148490b1513.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69151e209131cea201a3.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"FractalDB-1k","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### Dead-leaves

Top-1 Accuracy: 12.76. Result ID: 6991dd523a6c3148490b1512.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c611e209131cea33b57.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"Dead-leaves","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

### Random Initialization

Top-1 Accuracy: 4.28. Result ID: 6991dd523a6c3148490b1510.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71b91e209131cea52c9a.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"None","Evaluation Protocol":"5-NN retrieval","Backbone":"ResNet-50","Algorithm":"MoCo-v2"}. This record does not assert independent reproduction.

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