# Blood cell classification on Blood Cell Images Shenggan Source: [Blood cell classification on Blood Cell Images Shenggan]() Collection index: [llms.txt]() Data updated: 2026-05-25T08:23:07.650Z Evaluation of model performance on the Blood Cell Images Shenggan dataset for blood cell classification, reporting Accuracy and Macro F1. 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 | Blood cell classification | | Dataset (including any stated split) | Blood Cell Images Shenggan | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 1 of 1 | | 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. - [Macro F1](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Bayat et al. | 99.69 | Not recorded | 6a13d75b6f71c5ae7dc9e6ef | ### Bayat et al. Accuracy: 99.69. Result ID: 6a1406d4fbc373592c0b2485. [Reporting paper]() Recorded evaluation configuration: {"Classes":"4"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.