# Image Classification on GTSRB Non-IID (Dirichlet alpha = 0.8) Source: [Image Classification on GTSRB Non-IID (Dirichlet alpha = 0.8)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:32:18.537Z Evaluation of Image Classification performance on the Non-IID (Dirichlet alpha = 0.8) split of the GTSRB dataset, reporting Accuracy (%), Coefficient of Variation (CV), and Max-Min difference. 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) | GTSRB Non-IID (Dirichlet alpha = 0.8) | | 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. - [CV](): Lower is better; unit: SCALAR. - [Max-Min Difference](): Lower is better; unit: SCALAR. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | FLEX-MoE | 76.5 | Not recorded | 69535c7253fdd5c36173d7f7 | | Greedy | 68.03 | Not recorded | 69535c7253fdd5c36173d7f7 | | Greedy | 67.94 | Not recorded | 69535c7253fdd5c36173d7f7 | | FLEX-MoE | 59.34 | Not recorded | 69535c7253fdd5c36173d7f7 | | Random | 47.31 | Not recorded | 69535c7253fdd5c36173d7f7 | ### FLEX-MoE Accuracy: 76.5. Result ID: 699936aa5698665ec49fff94. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Indicator":"Loss-driven","Client count C":20,"Expert count E":8,"Expert selection range kc":"\[2, 6\]"}. This record does not assert independent reproduction. ### Greedy Accuracy: 68.03. Result ID: 699936aa5698665ec49fff91. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Indicator":"Acc-driven","Client count C":20,"Expert count E":8,"Expert selection range kc":"\[2, 6\]"}. This record does not assert independent reproduction. ### Greedy Accuracy: 67.94. Result ID: 699936aa5698665ec49fff93. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Indicator":"Loss-driven","Client count C":20,"Expert count E":8,"Expert selection range kc":"\[2, 6\]"}. This record does not assert independent reproduction. ### FLEX-MoE Accuracy: 59.34. Result ID: 699936aa5698665ec49fff92. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Indicator":"Acc-driven","Client count C":20,"Expert count E":8,"Expert selection range kc":"\[2, 6\]"}. This record does not assert independent reproduction. ### Random Accuracy: 47.31. Result ID: 699936aa5698665ec49fff90. [Reporting paper]() Recorded evaluation configuration: {"Indicator":"None","Client count C":20,"Expert count E":8,"Expert selection range kc":"\[2, 6\]"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.