Name: damage detection Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

314 images

Explore Dataset

Here are a few use cases for this project:

Quality Assurance in Manufacturing: The "damage detection" model can be employed in a manufacturing production line (like that of turbine blades, aircraft parts, or machinery components) to automatically detect different types of damages including hasarli_vortex (damaged vortex), yildirimHasari (lightning damage), erozyon (erosion), and drenaj (drainage). This will reduce manual inspection efforts and increase overall manufacturing efficiency.
Wind Farm Maintenance: The model could be used to scan images of the blades on wind turbines to identify any potential damage such as cracks, erosions, serration, dust stains (toz_lekesi) or blade defects. This would enable proactive maintenance and reduce risks of machinery failure.
Pharmaceuticals Inspection: Use this model in pharmaceutical production to identify damage or inconsistency on medicine receptacles, labels (etiket), or seals. It can aid in detecting any issues in real time, ensuring strict quality control.
Automotive Industry: The model can be used in the automobile industry to identify and classify damage on vehicular components during the manufacturing process or post accidents.
Insurance Claim Verification: The model could be used by insurance companies for objective assessment of damage to insured articles. This can aid in claim verification processes, helping accelerate and streamline damage assessments.

Cite This Project

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

@misc{
                            damage-detection-npcoy_dataset,
                            title = { damage detection Dataset },
                            type = { Open Source Dataset },
                            author = { eyda kaya },
                            howpublished = { \url{ https://universe.roboflow.com/eyda-kaya/damage-detection-npcoy } },
                            url = { https://universe.roboflow.com/eyda-kaya/damage-detection-npcoy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-25 },
                            }