pcbDefectDetection Computer Vision Project
TRY THIS MODEL
Drop an image or
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pcbdefectdetection-28acm_dataset,
title = { pcbDefectDetection Dataset },
type = { Open Source Dataset },
author = { object detection yolov5 },
howpublished = { \url{ https://universe.roboflow.com/object-detection-yolov5-w38uk/pcbdefectdetection-28acm } },
url = { https://universe.roboflow.com/object-detection-yolov5-w38uk/pcbdefectdetection-28acm },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-06-18 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the pcbDefectDetection project in your project.
Similar Projects
Electronic-Components-and-defect
204 images
ELECTRONIC-COMPOUNENT
163 images
c_smd
105 images
Components
101 images
ELECTRONIC-COMPONENT
236 images