# Image Classification on Oxford Flowers-102 (val) Source: [Image Classification on Oxford Flowers-102 (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:58.507Z Evaluation of Image Classification performance on the validation split of the Oxford Flowers-102 dataset, reporting 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 Classification | | Dataset (including any stated split) | Oxford Flowers-102 (val) | | Metric | Top-1 Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | DeiT III-L | 98.9 | Not recorded | 68fa6c591e209131cea3378d | | DeiT III-B | 98.6 | Not recorded | 68fa6c591e209131cea3378d | | DeiT-B | 98.4 | Not recorded | 68fa6c591e209131cea3378d | | Grafit ResNet-50 \[52\] | 98.2 | Not recorded | 68fa6c591e209131cea3378d | | DeiT III-S | 96.4 | Not recorded | 68fa6c591e209131cea3378d | | ViT-B/16 \[42\] | 96 | Not recorded | 68fa6c591e209131cea3378d | | ViT-L/16 \[42\] | 91.4 | Not recorded | 68fa6c591e209131cea3378d | | ViT-L/16 \[13\] | 89.7 | Not recorded | 68fa6c591e209131cea3378d | | ViT-B/16 \[13\] | 89.5 | Not recorded | 68fa6c591e209131cea3378d | ### DeiT III-L Top-1 Accuracy: 98.9. Result ID: 698f07893a6c314849f50a0d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L","Pre-training":"ImageNet-1k","Epochs":400,"Resolution":"224x224","Crop ratio":"1.0"}. This record does not assert independent reproduction. ### DeiT III-B Top-1 Accuracy: 98.6. Result ID: 698f07893a6c314849f50a0c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B","Pre-training":"ImageNet-1k","Epochs":400,"Resolution":"224x224","Crop ratio":"1.0"}. This record does not assert independent reproduction. ### DeiT-B Top-1 Accuracy: 98.4. Result ID: 698f07893a6c314849f50a0a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ImageNet-1k","Crop ratio":"0.875"}. This record does not assert independent reproduction. ### Grafit ResNet-50 \[52\] Top-1 Accuracy: 98.2. Result ID: 698f07893a6c314849f50a05. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ImageNet-1k","Crop ratio":"0.875"}. This record does not assert independent reproduction. ### DeiT III-S Top-1 Accuracy: 96.4. Result ID: 698f07893a6c314849f50a0b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-S","Pre-training":"ImageNet-1k","Epochs":400,"Resolution":"224x224","Crop ratio":"1.0"}. This record does not assert independent reproduction. ### ViT-B/16 \[42\] Top-1 Accuracy: 96. Result ID: 698f07893a6c314849f50a08. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ImageNet-1k","Crop ratio":"0.875"}. This record does not assert independent reproduction. ### ViT-L/16 \[42\] Top-1 Accuracy: 91.4. Result ID: 698f07893a6c314849f50a09. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ImageNet-1k","Crop ratio":"0.875"}. This record does not assert independent reproduction. ### ViT-L/16 \[13\] Top-1 Accuracy: 89.7. Result ID: 698f07893a6c314849f50a07. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ImageNet-1k","Crop ratio":"0.875"}. This record does not assert independent reproduction. ### ViT-B/16 \[13\] Top-1 Accuracy: 89.5. Result ID: 698f07893a6c314849f50a06. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ImageNet-1k","Crop ratio":"0.875"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.