UNO Automatic Optical Inspection 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{
uno-automatic-optical-inspection_dataset,
title = { UNO Automatic Optical Inspection Dataset },
type = { Open Source Dataset },
author = { Imperial College },
howpublished = { \url{ https://universe.roboflow.com/imperial-college-tcys7/uno-automatic-optical-inspection } },
url = { https://universe.roboflow.com/imperial-college-tcys7/uno-automatic-optical-inspection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-06-24 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the UNO Automatic Optical Inspection project in your project.
Source
Last Updated
4 months ago
Project Type
Object Detection
Subject
PCB-defects
Views: 47
Downloads: 8
License
Classes
Similar Projects
MissingComps
95 images
Missingcomp
80 images
defects
267 images
missingcomps
219 images
co-m-pcomponents
588 images