safety Computer Vision Project

harsh

Updated a month ago

Classes (25)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
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Construction Site Safety - v28 YOLOv5s
For state of the art Computer Vision training notebooks you can use with this dataset,
Gloves-Helmet-vest-Glass are annotated in YOLOv11 format.
Helmet
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 481 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on February 1, 2023 at 4:08 PM GMT
This dataset was exported via roboflow.com on October 17, 2024 at 9:40 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
equipements_detection - v2 2024-02-29 1:14pm
gloves person
specs
vest
visit https://github.com/roboflow/notebooks

A description for this project has not been published yet.

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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{
                            safety-vstpq_dataset,
                            title = { safety Dataset },
                            type = { Open Source Dataset },
                            author = { harsh },
                            howpublished = { \url{ https://universe.roboflow.com/harsh-oxwem/safety-vstpq } },
                            url = { https://universe.roboflow.com/harsh-oxwem/safety-vstpq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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