Images

288 images

Explore Dataset

Here are a few use cases for this project:

Wind Turbine Inspection and Maintenance: Use the segmentation model to analyze images of wind turbine blades, identifying types of damage (yildirimHasari, yagLekesi, erozyon, drenaj) on blade surfaces for timely repair, ensuring optimal energy production and minimizing downtime.

Keywords: wind turbine, blade inspection, damage detection, maintenance, energy production

Quality Control in Manufacturing: Apply the segmentation model to inspect and categorize manufacturing defects in various products (such as reseptor, etiket, serration, hasarli_vortex) as they come off the production line, enabling rapid response to quality issues and improving overall production efficiency.

Keywords: quality control, manufacturing defects, production efficiency, defect categorization

Damage Assessment for Insurance Claims: Utilize the segmentation model in processing images of damaged property and vehicles to automatically identify and classify types of damage (yildirimHasari, yagLekesi, erozyon, drenaj), supporting quicker and more accurate insurance claim processing.

Keywords: insurance claims, damage assessment, property damage, vehicle damage, claim processing

Environment Analysis in Precision Agriculture: Leverage the segmentation model to analyze aerial or satellite imagery of agricultural fields, classifying critical areas (reozyon, drenaj, yagLekesi) that require attention, enabling farmers to make informed decisions on irrigation, soil conservation, and nutrient management.

Keywords: precision agriculture, environment analysis, soil conservation, nutrient management, aerial imagery

Inspection of Hardware Tools and Components: Implement the segmentation model to inspect hardware tools and components such as cutting blades, serrations, and vortex systems for damage (hasarsiz_vortex, hasarli_vortex), wear, or manufacturing defects, ensuring optimal performance and safety in various industries.

Keywords: hardware inspection, tool maintenance, component analysis, safety, performance optimization

Cite This Project

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

@misc{
                            segmentation-dnhda_dataset,
                            title = { segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { eyda kaya },
                            howpublished = { \url{ https://universe.roboflow.com/eyda-kaya/segmentation-dnhda } },
                            url = { https://universe.roboflow.com/eyda-kaya/segmentation-dnhda },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-24 },
                            }