# Object Detection on Weed Dataset 2024 Source: [Object Detection on Weed Dataset 2024]() Collection index: [llms.txt]() Data updated: 2026-03-04T09:14:19.567Z Evaluation of Object Detection performance on the Weed Dataset 2024, reporting standard metrics like Precision, Recall, and mAP variants. 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) | Weed Dataset 2024 | | Metric | Precision | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 4 of 4 | | 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 - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [mAP50](): Higher is better; unit: PERCENT. - [mAP50:95](): Higher is better; unit: PERCENT. ## Recorded results | Method | Precision | Result date | Report paper | | --- | --- | --- | --- | | DINO\*-YOLO26\* | 53.7 | Not recorded | 69a66bde2d603e6de3e3ccd7 | | DINO-YOLO26\* | 53.6 | Not recorded | 69a66bde2d603e6de3e3ccd7 | | YOLO26\* | 44.4 | Not recorded | 69a66bde2d603e6de3e3ccd7 | | YOLO26 | 42.8 | Not recorded | 69a66bde2d603e6de3e3ccd7 | ### DINO\*-YOLO26\* Precision: 53.7. Result ID: 69a7f7046dbb7075b94d020c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Fine-tuned DINO-ViT","Training loss":"DFL loss"}. This record does not assert independent reproduction. ### DINO-YOLO26\* Precision: 53.6. Result ID: 69a7f7046dbb7075b94d020b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"DINOv3-pretrained ViT","Training loss":"DFL loss"}. This record does not assert independent reproduction. ### YOLO26\* Precision: 44.4. Result ID: 69a7f7046dbb7075b94d020a. [Reporting paper]() Recorded evaluation configuration: {"Training loss":"DFL loss"}. This record does not assert independent reproduction. ### YOLO26 Precision: 42.8. Result ID: 69a7f7046dbb7075b94d0209. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training loss":"Standard"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.