# Object Detection on ICDAR 2015 (test) Source: [Object Detection on ICDAR 2015 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:01:12.341Z Evaluation of Object Detection performance on the test split of the ICDAR 2015 dataset, measured using metrics like Recall, Precision, and Hmean. 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 | Object Detection | | Dataset (including any stated split) | ICDAR 2015 (test) | | Metric | Recall | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 3 of 3 | | 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 - [Recall](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [Hmean](): Higher is better; unit: PERCENT. ## Recorded results | Method | Recall | Result date | Report paper | | --- | --- | --- | --- | | RetinaNet-BCL | 81.61 | Not recorded | 68fa6a091e209131cea25a5d | | RetinaNet-Reg | 81.49 | Not recorded | 68fa6a091e209131cea25a5d | | RetinaNet-CSL | 80.5 | Not recorded | 68fa6a091e209131cea25a5d | ### RetinaNet-BCL Recall: 81.61. Result ID: 698e0235ffc3901de09a19c8. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet101","Data Augmentation":"true","Multi-scale training and testing":"true"}. This record does not assert independent reproduction. ### RetinaNet-Reg Recall: 81.49. Result ID: 698e0235ffc3901de09a19c6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet101","Data Augmentation":"true","Multi-scale training and testing":"true"}. This record does not assert independent reproduction. ### RetinaNet-CSL Recall: 80.5. Result ID: 698e0235ffc3901de09a19c7. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet101","Data Augmentation":"true","Multi-scale training and testing":"true"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.