Imperial College

UNO Automatic Optical Inspection

Object Detection

Roboflow Universe Imperial College UNO Automatic Optical Inspection

UNO Automatic Optical Inspection Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

90 images
Explore Dataset

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 2024-03-01 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the UNO Automatic Optical Inspection project in your project.

Last Updated

15 days ago

Project Type

Object Detection

Subject

PCB-defects

Classes

16MHz Crystal 47uF CAP ATMEL328P ATMega16u2 CD1206 Capa Crystal Fuse LED LMV358 M7 diode Missing PIN Header Ports Power Regulator Reset Resistor Resistor pack SSOT3 USB lp2985

Views: 16

Views in previous 30 days: 0

Downloads: 6

Downloads in previous 30 days: 0

License

CC BY 4.0