smoking Computer Vision Project

seg

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Classes (129)
七匹狼(纯境)
七匹狼(英伦奶香)
七匹狼(锋芒)
中华(全开式)
中华(双中支)
中华(硬)
中华(细支)
中华(软)
中华(金短支)
中华(金细支)
中南海(5mg)
中南海(5mg细支)
云烟(小熊猫家园)
云烟(紫)
云烟(细支云龙)
云烟(细支大重九)
云烟(软大重九)
云烟(软珍品)
云烟(黑金刚印象)
人民大会堂(盛京中支)
人民大会堂(盛京细支)
人民大会堂(硬红)
人民大会堂(硬红细支)
人民大会堂(中支
人民大会堂(中支)
兰州(硬珍品)
冬虫夏草(双中支)
冬虫夏草(红中支)
利群(夜西湖)
利群(新版)
利群(楼外楼)
利群(软长嘴)
利群西子阳光
南京(佳品)
南京(十二钗烤烟)
南京(梦都)
南京(炫赫门)
南京(红)
南京(雨花石)
南京十二钗薄荷
大前门(短支)
天下秀
天子(中支)
好猫(细支长乐)
娇子(X)
娇子(宽窄好运)
娇子(宽窄好运细支)
娇子(格调细支)
娇子(蓝时代)
泰山(儒风细支)
泰山(心悦)
泰山(红将军)
泰山(颜悦)
牡丹(蓝中支)
牡丹(软)
玉溪(创客)
玉溪(硬)
玉溪(细支清香世家)
玉溪(软)
白沙(硬和天下双中支)
白沙(硬新精品二代)
白沙(硬细支和天下)
白沙(软和天下)
真龙(美人香草)
红塔山(硬经典100)
红塔山(细支传奇)
红塔山(软经典)
红旗渠(雪茄)
红金龙(硬蓝爱你)
芙蓉王(硬)
芙蓉王(硬中支)
芙蓉王(硬细支)
芙蓉王(荣耀中支)
苏烟(五星红杉树)
贵烟(国酒香)
贵烟(国酒香30)
贵烟(红中支)
贵烟(细支国酒香30)
贵烟(萃)
贵烟(跨越)
贵烟(金百合)
贵烟(喜贵)
遵义(软)
金圣(滕王阁紫光)
金桥(软混)
金桥(蓝牌)
钻石(细支荷花)
钻石(荷花)
长白山(777)
长白山(人参参品)
长白山(圣境)
长白山(桂花)
长白山(海蓝)
长白山(神韵)
长白山(红)
长白山(红人参)
长白山(细支人参烟)
长白山(蓝尚)
长白山(软红)
长白山(迎春中支)
长白山(银)
长白山(人参盛世)
长白山(神韵细支)
黄山(中国画细支)
黄山(印象一品)
黄山(小红方印)
黄山(徽商新概念细支)
黄山(新一品)
黄山(新制皖烟)
黄山(红方印细支)
黄山(记忆)
黄果树(长征)
黄金叶(乐途)
黄金叶(商鼎)
黄金叶(天叶细支)
黄金叶(天香细支)
黄金叶(爱尚)
黄金叶(金满堂)
黄金叶(乐途中支)
黄鹤楼(天下名楼)
黄鹤楼(硬奇景)
黄鹤楼(硬峡谷情细支)
黄鹤楼(硬峡谷柔情)
黄鹤楼(硬平安)
黄鹤楼(硬蓝)
黄鹤楼(硬金砂)
黄鹤楼(硬银紫)
黄鹤楼(软1916)
黄鹤楼(软蓝)
Description

Here are a few use cases for this project:

  1. Anti-Counterfeiting Operations: The model can be used by anti-smuggling and anti-counterfeiting agencies to identify and verify cigarette brands in images or video feeds. This could help in distinguishing between genuine and counterfeit products.

  2. Retail Inventory Management: Retail shops dealing with cigarettes can use the model to automate their inventory management systems. The model will be able to recognize and classify different cigarette brands from the surveillance footage or images taken for inventory purposes.

  3. Advertisements and Media Regulations: Regulatory authorities can use this model to monitor and enforce regulations related to tobacco advertising and promotions on media channels. The model would identify specific cigarette brands in the content, helping authorities to ensure compliance with the rules.

  4. Online Retail: E-commerce platforms selling cigarettes can use the model to automatically tag products in pictures, thus improving the searchability and categorization of products on their platforms.

  5. Public Health Surveillance: Health organizations and research institutions can use the model for studies related to smoking, such as monitoring and evaluating the prevalence of specific cigarette brands in different regions or demographic groups. This could contribute to research on smoking habits and inform public health strategies.

Supervision

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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{
                            smoking-4z420_dataset,
                            title = { smoking Dataset },
                            type = { Open Source Dataset },
                            author = { seg },
                            howpublished = { \url{ https://universe.roboflow.com/seg-zlmdp/smoking-4z420 } },
                            url = { https://universe.roboflow.com/seg-zlmdp/smoking-4z420 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-11-17 },
                            }
                        
                    

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