EndoscopeDectection 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{
endoscopedectection_dataset,
title = { EndoscopeDectection Dataset },
type = { Open Source Dataset },
author = { Monash univeristy },
howpublished = { \url{ https://universe.roboflow.com/monash-univeristy-bfskz/endoscopedectection } },
url = { https://universe.roboflow.com/monash-univeristy-bfskz/endoscopedectection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-05-21 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the EndoscopeDectection project in your project.
Similar Projects
failures
3777 images
failures
2081 images
Warp
1343 images
nozzle-clogging
2480 images
defects
833 images