YoloV5_Hybrid-Approach-of-Unstructured-Text-and-Image-Data-Analytics-for-Real-Time-Safety-Management

Object Detection

YoloV5_Hybrid-Approach-of-Unstructured-Text-and-Image-Data-Analytics-for-Real-Time-Safety-Management Computer Vision Project

Lee

Updated 3 years ago

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            yolov5_hybrid-approach-of-unstructured-text-and-image-data-analytics-for-real-time-safety-management_dataset,
                            title = { YoloV5_Hybrid-Approach-of-Unstructured-Text-and-Image-Data-Analytics-for-Real-Time-Safety-Management Dataset },
                            type = { Open Source Dataset },
                            author = { Lee },
                            howpublished = { \url{ https://universe.roboflow.com/lee-ueevv/yolov5_hybrid-approach-of-unstructured-text-and-image-data-analytics-for-real-time-safety-management } },
                            url = { https://universe.roboflow.com/lee-ueevv/yolov5_hybrid-approach-of-unstructured-text-and-image-data-analytics-for-real-time-safety-management },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2025-03-16 },
                            }
                        
                    

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