Roboflow Universe Northeastern Open hole Detection - Construction Safety

Open hole Detection - Construction Safety Computer Vision Project

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This model will be deployed to our Jetson-based edge inference systems for job sites allowing us to monitor and report on unsafe conditions surrounding excavation and earth moving. This model should run on a single-board computer; we will likely combine functionality with the PPE model to determine if somebody is wearing a harness near an unsafe excavation.

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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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            open-hole-detection-construction-safety_dataset,
                            title = { Open hole Detection - Construction Safety Dataset },
                            type = { Open Source Dataset },
                            author = { Northeastern },
                            howpublished = { \url{ https://universe.roboflow.com/northeastern-4sfxe/open-hole-detection-construction-safety } },
                            url = { https://universe.roboflow.com/northeastern-4sfxe/open-hole-detection-construction-safety },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-07-27 },
                            }