# Image Classification on Stanford Cars 50% Source: [Image Classification on Stanford Cars 50%]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:07:01.338Z Evaluation of Image Classification performance on the 50% subset of the Stanford Cars 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) | Stanford Cars 50% | | Metric | Top-1 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 - [Top-1 Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | MGR | 75.24 | Not recorded | 68fa70f31e209131cea4e4b2 | | Base Model | 72.91 | Not recorded | 68fa70f31e209131cea4e4b2 | | GDA+SSL | 71.99 | Not recorded | 68fa70f31e209131cea4e4b2 | | GDA+MH | 71.51 | Not recorded | 68fa70f31e209131cea4e4b2 | | GDA | 68.81 | Not recorded | 68fa70f31e209131cea4e4b2 | ### MGR Top-1 Accuracy: 75.24. Result ID: 699168153a6c31484907edae. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction. ### Base Model Top-1 Accuracy: 72.91. Result ID: 699168153a6c31484907edaa. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction. ### GDA+SSL Top-1 Accuracy: 71.99. Result ID: 699168153a6c31484907edad. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction. ### GDA+MH Top-1 Accuracy: 71.51. Result ID: 699168153a6c31484907edac. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction. ### GDA Top-1 Accuracy: 68.81. Result ID: 699168153a6c31484907edab. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.