# Fine-grained Image Classification on Oxford Flowers (Acc, ECE, SCE) Source: [Fine-grained Image Classification on Oxford Flowers (Acc, ECE, SCE)]() Collection index: [llms.txt]() Data updated: 2026-05-01T08:26:32.077Z Evaluation of Fine-grained Image Classification performance on the Oxford Flowers dataset, reporting Accuracy, Expected Calibration Error (ECE), and Scaled 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 Flowers | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 5 of 5 | | 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](): Higher is better; unit: PERCENT. - [ECE](): Lower is better; unit: PERCENT. - [SCE](): Lower is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | DynaPrompt+C-TPT | 70.08 | Not recorded | 69f433c455a3c32af89fd373 | | DynaPrompt (Paper) | 69.95 | Not recorded | 69f433c455a3c32af89fd373 | | DynaPrompt (Replication) | 69.67 | Not recorded | 69f433c455a3c32af89fd373 | | DynaPrompt+FPP | 69.63 | Not recorded | 69f433c455a3c32af89fd373 | | DynaPrompt+O-TPT | 68.74 | Not recorded | 69f433c455a3c32af89fd373 | ### DynaPrompt+C-TPT Accuracy: 70.08. Result ID: 69f463ac47f34ce924da5186. [Reporting paper]() [Method origin paper]() 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: 69.95. Result ID: 69f463ac47f34ce924da5184. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction. ### DynaPrompt (Replication) Accuracy: 69.67. Result ID: 69f463ac47f34ce924da5185. [Reporting paper]() [Method origin paper]() 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: 69.63. Result ID: 69f463ac47f34ce924da5188. [Reporting paper]() [Method origin paper]() 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: 68.74. Result ID: 69f463ac47f34ce924da5187. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP-ViT/B16","Framework":"DynaPrompt","Hard Prompt":"a photo of a"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.