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

Images

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Explore Dataset

Here are a few use cases for this project:

Quality Control in Manufacturing: Utilize the MONGERY model in manufacturing settings to identify HATALI class defects and other production errors, ensuring consistent product quality across the line.
Food Safety Inspection: Applying the model in the food industry for inspecting food items. It can identify potential HATALI class harmful substances or inconsistencies to ensure food safety.
Health Diagnostic Assistance: Use MONGERY in the medical field to identify HATALI on medical images such as X-rays, MRIs, or CT scans which can aid doctors with diagnosis and treatment plans for patients.
Precision Agriculture: Farmers could deploy MONGERY in drones or other IOT devices to identify HATALI class diseases or pests in crops, enabling preventive measures before a large-scale outbreak occurs.
Environmental Monitoring: Use this model in environmental and wildlife conservation efforts to detect any HATALI category anomalies or changes in natural settings which indicates potential threats to the ecosystem.

Cite This Project

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

@misc{
                            mongery_dataset,
                            title = { MONGERY Dataset },
                            type = { Open Source Dataset },
                            author = { kübra },
                            howpublished = { \url{ https://universe.roboflow.com/kubra-bihwb/mongery } },
                            url = { https://universe.roboflow.com/kubra-bihwb/mongery },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { feb },
                            note = { visited on 2024-04-28 },
                            }