# Image Classification on ImageNette 1.0 (test) Source: [Image Classification on ImageNette 1.0 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:34:30.521Z Evaluation of Image Classification performance on the test split of the ImageNette 1.0 dataset, reporting alpha-weighted Accuracy metrics (alpha=0.1, 0.3, 0.5). 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) | ImageNette 1.0 (test) | | Metric | Accuracy (alpha=0.1) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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 (alpha=0.1)](): Higher is better; unit: PERCENT. - [Accuracy (alpha=0.3)](): Higher is better; unit: PERCENT. - [Accuracy (alpha=0.5)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (alpha=0.1) | Result date | Report paper | | --- | --- | --- | --- | | Central | 90 | Not recorded | 68fa76141e209131cea6b4b5 | | Central | 89.6 | Not recorded | 68fa76141e209131cea6b4b5 | | FedSD2C | 50.68 | Not recorded | 68fa76141e209131cea6b4b5 | | FedSD2C | 47.52 | Not recorded | 68fa76141e209131cea6b4b5 | | F-DAFL | 44.95 | Not recorded | 68fa76141e209131cea6b4b5 | | DENSE | 42.09 | Not recorded | 68fa76141e209131cea6b4b5 | | Co-Boosting | 39.36 | Not recorded | 68fa76141e209131cea6b4b5 | | DENSE | 38.37 | Not recorded | 68fa76141e209131cea6b4b5 | | F-DAFL | 37.86 | Not recorded | 68fa76141e209131cea6b4b5 | | Co-Boosting | 27.06 | Not recorded | 68fa76141e209131cea6b4b5 | | FedAVG | 10.68 | Not recorded | 68fa76141e209131cea6b4b5 | | FedAVG | 9.86 | Not recorded | 68fa76141e209131cea6b4b5 | ### Central Accuracy (alpha=0.1): 90. Result ID: 699424a13a6c3148491b5b30. [Reporting paper]() Recorded evaluation configuration: {"Model Architecture":"ResNet-18"}. This record does not assert independent reproduction. ### Central Accuracy (alpha=0.1): 89.6. Result ID: 699424a13a6c3148491b5b2a. [Reporting paper]() Recorded evaluation configuration: {"Model Architecture":"ConvNet"}. This record does not assert independent reproduction. ### FedSD2C Accuracy (alpha=0.1): 50.68. Result ID: 699424a13a6c3148491b5b2f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model Architecture":"ConvNet"}. This record does not assert independent reproduction. ### FedSD2C Accuracy (alpha=0.1): 47.52. Result ID: 699424a13a6c3148491b5b35. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model Architecture":"ResNet-18"}. This record does not assert independent reproduction. ### F-DAFL Accuracy (alpha=0.1): 44.95. Result ID: 699424a13a6c3148491b5b2c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ConvNet"}. This record does not assert independent reproduction. ### DENSE Accuracy (alpha=0.1): 42.09. Result ID: 699424a13a6c3148491b5b2d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ConvNet"}. This record does not assert independent reproduction. ### Co-Boosting Accuracy (alpha=0.1): 39.36. Result ID: 699424a13a6c3148491b5b2e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ConvNet"}. This record does not assert independent reproduction. ### DENSE Accuracy (alpha=0.1): 38.37. Result ID: 699424a13a6c3148491b5b33. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ResNet-18"}. This record does not assert independent reproduction. ### F-DAFL Accuracy (alpha=0.1): 37.86. Result ID: 699424a13a6c3148491b5b32. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ResNet-18"}. This record does not assert independent reproduction. ### Co-Boosting Accuracy (alpha=0.1): 27.06. Result ID: 699424a13a6c3148491b5b34. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ResNet-18"}. This record does not assert independent reproduction. ### FedAVG Accuracy (alpha=0.1): 10.68. Result ID: 699424a13a6c3148491b5b2b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ConvNet"}. This record does not assert independent reproduction. ### FedAVG Accuracy (alpha=0.1): 9.86. Result ID: 699424a13a6c3148491b5b31. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model Architecture":"ResNet-18"}. This record does not assert independent reproduction. Page 1 of 1. 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