FireNet Computer Vision Project
FireNet http://www.firenet.xyz/
An image collection of fire safetey equipment.
FireNet is an open ML training dataset for visual recognition of fire safety equipment. Our dataset directly links the objects to their respective Uniclass, the construction sector’s classification scheme to name objects. FireNet has been designed as a ML training dataset for experimentation and therefore fulfills multiple machine learning scenarios (classification, object detection, semantic segmentation). It is intended as a domain specific dataset to refine pre-trained standard architectures.
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{ firenet-tahn8_dataset,
title = { FireNet Dataset },
type = { Open Source Dataset },
author = { 3D Imaging UCL },
howpublished = { \url{ https://universe.roboflow.com/3d-imaging-ucl/firenet-tahn8 } },
url = { https://universe.roboflow.com/3d-imaging-ucl/firenet-tahn8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2023-12-05 },
}
Find utilities and guides to help you start using the FireNet project in your project.