# Fine-grained Image Classification on Oxford-IIIT Pets (Acc, ECE, SCE)

Source: [Fine-grained Image Classification on Oxford-IIIT Pets (Acc, ECE, SCE)](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-oxford-iiit-pets-acc-ece-sce>)

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

Data updated: 2026-05-01T08:26:32.139Z

Evaluation of Fine-grained Image Classification performance on the Oxford-IIIT Pets dataset, reporting Accuracy, Expected Calibration Error (ECE), and Sorted Calibration Error (SCE).

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 | Fine-grained Image Classification |
| Dataset (including any stated split) | Oxford-IIIT Pets |
| Metric | 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

- [Accuracy](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-oxford-iiit-pets-acc-ece-sce.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [ECE](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-oxford-iiit-pets-acc-ece-sce.md?metric=ECE>): Lower is better; unit: PERCENT.

- [SCE](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-oxford-iiit-pets-acc-ece-sce.md?metric=SCE>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DynaPrompt+C-TPT | 88.61 | Not recorded | 69f433c455a3c32af89fd373 |
| DynaPrompt+O-TPT | 88.55 | Not recorded | 69f433c455a3c32af89fd373 |
| DynaPrompt+FPP | 88.36 | Not recorded | 69f433c455a3c32af89fd373 |
| DynaPrompt (Paper) | 88.28 | Not recorded | 69f433c455a3c32af89fd373 |
| C-TPT | 88.2 | Not recorded | 69f433c455a3c32af89fd373 |
| CLIP | 88 | Not recorded | 69f433c455a3c32af89fd373 |
| O-TPT | 87.95 | Not recorded | 69f433c455a3c32af89fd373 |
| DynaPrompt (Replication) | 87.71 | Not recorded | 69f433c455a3c32af89fd373 |
| FPP | 87.3 | Not recorded | 69f433c455a3c32af89fd373 |
| TPT | 87.1 | Not recorded | 69f433c455a3c32af89fd373 |

### DynaPrompt+C-TPT

Accuracy: 88.61. Result ID: 69f463ac47f34ce924da5190.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76ce1e209131cea6f306.md>)

Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction.

### DynaPrompt+O-TPT

Accuracy: 88.55. Result ID: 69f463ac47f34ce924da5191.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76ce1e209131cea6f306.md>)

Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction.

### DynaPrompt+FPP

Accuracy: 88.36. Result ID: 69f463ac47f34ce924da5192.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction.

### DynaPrompt (Paper)

Accuracy: 88.28. Result ID: 69f463ac47f34ce924da518e.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76ce1e209131cea6f306.md>)

Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction.

### C-TPT

Accuracy: 88.2. Result ID: 69f463ac47f34ce924da51f0.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bc1e209131cea58415.md>)

Recorded evaluation configuration: {"Venue":"ICLR 2024","Backbone":"CLIP-ViT/B16","Framework":"TPT","Prompt Template":"a photo of a"}. This record does not assert independent reproduction.

### CLIP

Accuracy: 88. Result ID: 69f463ac47f34ce924da51ee.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Venue":"ICML 2021","Backbone":"CLIP-ViT/B16","Framework":"TPT","Prompt Template":"a photo of a"}. This record does not assert independent reproduction.

### O-TPT

Accuracy: 87.95. Result ID: 69f463ac47f34ce924da51f1.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bc1e209131cea58415.md>)

Recorded evaluation configuration: {"Venue":"CVPR 2025","Backbone":"CLIP-ViT/B16","Framework":"TPT","Prompt Template":"a photo of a"}. This record does not assert independent reproduction.

### DynaPrompt (Replication)

Accuracy: 87.71. Result ID: 69f463ac47f34ce924da518f.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76ce1e209131cea6f306.md>)

Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction.

### FPP

Accuracy: 87.3. Result ID: 69f463ac47f34ce924da51f2.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

Recorded evaluation configuration: {"Venue":"CVPR 2026","Backbone":"CLIP-ViT/B16","Framework":"TPT","Prompt Template":"a photo of a"}. This record does not assert independent reproduction.

### TPT

Accuracy: 87.1. Result ID: 69f463ac47f34ce924da51ef.

[Reporting paper](<https://www.sota2.com/research/paper/69f433c455a3c32af89fd373.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77731e209131cea732dd.md>)

[Implementation](<https://github.com/ashshaksharifdeen/O-TPT>)

Recorded evaluation configuration: {"Venue":"NeurIPS 2022","Backbone":"CLIP-ViT/B16","Framework":"TPT","Prompt Template":"a photo of a"}. This record does not assert independent reproduction.

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