Roboflow Universe IFES Holes Detection

Holes Detection Computer Vision Project

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Here are a few use cases for this project:

Mining Surveillance: The model could help in identifying and mapping underground tunnels and holes in mining applications to ensure worker safety.
Structural Integrity Assessment: The "Holes Detection" model can be used in civil engineering applications to detect cracks and holes in structures like bridges, roads, or buildings, allowing for timely repair and maintenance.
Quality Control in Manufacturing: This model can be employed in automated systems on production lines, for instance, to identify defective products with undesired holes or deformities.
Agriculture: The model can assist in identifying burrows or holes created by pests in fields or orchards, facilitating pest management.
Archaeology Explorations: The model could be beneficial in detecting holes or entrances to underground caves and passages, aiding archaeological surveys and explorations.

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{
                            holes-detection-wdpj9_dataset,
                            title = { Holes Detection Dataset },
                            type = { Open Source Dataset },
                            author = { IFES },
                            howpublished = { \url{ https://universe.roboflow.com/ifes-xvzvf/holes-detection-wdpj9 } },
                            url = { https://universe.roboflow.com/ifes-xvzvf/holes-detection-wdpj9 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-15 },
                            }