# Wound Segmentation on public wound dataset (test) Source: [Wound Segmentation on public wound dataset (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:01:13.093Z Evaluation of Wound Segmentation performance on the test split of the public wound dataset, reporting Recall, Precision, and F1-Score. 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 | Wound Segmentation | | Dataset (including any stated split) | public wound dataset (test) | | Metric | Recall | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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. - [F1-Score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Recall | Result date | Report paper | | --- | --- | --- | --- | | Our model | 92.87 | Not recorded | 68fa6eab1e209131cea4141f | | DeepLabV3 | 92.07 | Not recorded | 68fa6eab1e209131cea4141f | | U-Net | 91.29 | Not recorded | 68fa6eab1e209131cea4141f | | MobileNetV2+CCL | 89.97 | Not recorded | 68fa6eab1e209131cea4141f | | MobileNetV2 | 89.76 | Not recorded | 68fa6eab1e209131cea4141f | | SegNet | 86.49 | Not recorded | 68fa6eab1e209131cea4141f | | Mask-RCNN | 86.4 | Not recorded | 68fa6eab1e209131cea4141f | | VGG16 | 78.35 | Not recorded | 68fa6eab1e209131cea4141f | ### Our model Recall: 92.87. Result ID: 699039253a6c314849ff08c9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DeepLabV3 Recall: 92.07. Result ID: 699039253a6c314849ff08c8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### U-Net Recall: 91.29. Result ID: 699039253a6c314849ff08c4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MobileNetV2+CCL Recall: 89.97. Result ID: 699039253a6c314849ff08c7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MobileNetV2 Recall: 89.76. Result ID: 699039253a6c314849ff08c6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### SegNet Recall: 86.49. Result ID: 699039253a6c314849ff08c3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Mask-RCNN Recall: 86.4. Result ID: 699039253a6c314849ff08c5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### VGG16 Recall: 78.35. Result ID: 699039253a6c314849ff08c2. [Reporting paper]() [Method origin 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.