Instructions to use thangkt/PCB-Prune-YOLO-P30-Direct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use thangkt/PCB-Prune-YOLO-P30-Direct with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("thangkt/PCB-Prune-YOLO-P30-Direct") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| scope,precision,recall,mAP50,mAP50-95,class_id,class_name | |
| overall,0.9532359026085936,0.9437431976398601,0.9778818888829804,0.7503037352615889,, | |
| class,0.9444039780554989,0.9604743083003953,0.9793098515053684,0.6819127362573131,0.0,open | |
| class,0.9326621433423198,0.9191919191919192,0.9562128393802523,0.6617615928672392,1.0,short | |
| class,0.9320049579136033,0.9170176634934548,0.9711807173070884,0.7322388357813507,2.0,mousebite | |
| class,0.9655674315697388,0.9523809523809523,0.9806989344610584,0.7097311791921733,3.0,spur | |
| class,0.975695738368658,0.9513090344155675,0.9922288733289836,0.8797282879332101,4.0,copper | |
| class,0.9690811664017428,0.9620853080568721,0.9876601173151319,0.8364497795382461,5.0,pin-hole | |