Name: kv_ap_02 Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

2016 images

Explore Dataset

Here are a few use cases for this project:

Personal Protective Equipment (PPE) Compliance Monitoring: The model can be used in factories, construction sites, or laboratories to automatically monitor whether workers are wearing the necessary gloves for safety and hygiene purposes. This could help to improve adherence to safety regulations and protocols.
Retail Management: The model can be implemented in retail outlets, specifically those selling gloves, for inventory management systems to automatically recognize and categorize different glove types, and to identify items that do not belong in the glove category.
HealthCare Monitoring: In healthcare settings, it could be used to ensure that medical staff are properly equipped with gloves during sterile procedures or patient contact. This could reduce breach in hygiene protocols, thus reducing the spread of infectious diseases.
Sports Equipment Classification: The model could be used for classifying different types of gloves in sports such as baseball, boxing, or golf, helping sports equipment stores in product categorization and shoppers in finding the right product.
Fashion Industry: In the fashion industry, the model could aid in recognizing and classifying different style trends, materials, or brands of gloves.

Cite This Project

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

@misc{
                            kv_ap_02_dataset,
                            title = { kv_ap_02 Dataset },
                            type = { Open Source Dataset },
                            author = { Sabina Jashir },
                            howpublished = { \url{ https://universe.roboflow.com/sabina-jashir/kv_ap_02 } },
                            url = { https://universe.roboflow.com/sabina-jashir/kv_ap_02 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }