# Traditional Symbolic Object Classification on TopLogo Source: [Traditional Symbolic Object Classification on TopLogo]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:28:32.402Z Evaluation of Traditional Symbolic Object Classification performance on the TopLogo dataset, typically reporting 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 | Traditional Symbolic Object Classification | | Dataset (including any stated split) | TopLogo | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 2 of 2 | | 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. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Sill-Net | 89.66 | Not recorded | 68fa6d8b1e209131cea3a801 | | CNN3ST | 85.06 | Not recorded | 68fa6d8b1e209131cea3a801 | ### Sill-Net Accuracy: 89.66. Result ID: 698fb8f73a6c314849fb667f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CNN3ST Accuracy: 85.06. Result ID: 698fb8f73a6c314849fb667e. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.