pepsi Computer Vision Project

long23tk2@gmail.com

Updated 3 years ago

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Classes (56)
7up_1_5
7up_lon
7up_nhua_330
7up_thuy_tinh
all_free
aquafina_1_5
aquafina_350
aquafina_5
aquafina_500
goodmood_cam
goodmood_sua_chua
lipton_tra_den
lipton_tra_den_vi_chanh
lipton_tra_xanh
lipton_vi_dao
mirinda_cam_1_5
mirinda_cam_330
mirinda_cam_lon
mirinda_cam_thuy_tinh
mirinda_da_me_330
mirinda_da_me_lon
mirinda_soda_kem_1_5
mirinda_soda_kem_lon
mirinda_xa_xi_1_5
mirinda_xa_xi_350
mirinda_xa_xi_lon
mountain_dew
mountain_dew_thuy_tinh
other
p
pepsi_0_calo_vi_chanh
pepsi_1_5
pepsi_330
pepsi_lon
pepsi_thuy_tinh
revive_chanh_muoi
revive_nguyen_ban_lon
revive_nguyen_ban_nhua
sting_cafe
sting_do_lon
sting_do_nhua
sting_do_thuy_tinh
sting_vang_lon
sting_vang_nhua
sting_vang_thuy_tinh
tra_o_long
tra_o_long_khong_duong
tra_o_long_matcha
tra_o_long_vi_chanh
twister_cam_1
twister_cam_350
twister_cam_lon
twister_cam_thuy_tinh
twister_chanh_day_330
twister_chanh_day_lon
twister_dau_330
Description

Here are a few use cases for this project:

  1. Inventory Management: Retail stores can utilize this model to automate inventory management tasks. The model can be deployed to identify individual beverages on store shelves, quickly providing an accurate count of stock levels and alerting staff when restocking is needed.

  2. Recycling Centres: Recycling facilities can use this model to automate the sorting process. By identifying the type of beverage container (plastic bottle, glass bottle, can, etc.), the system can sort items into designated recyclable categories, improving efficiency and minimizing manual labor.

  3. Quality Control at Production Lines: The "pepsi" model could be used in beverage production lines to ensure the correct labeling of products. The system can identify mismatches between physical products and their intended labels, ensuring that each product is correctly labeled before it leaves the factory.

  4. Smart Vending Machines: Vending machine manufactures can incorporate this model into their designs to create "smart" vending machines. These machines could recognize the type and quantity of beverages in them, making automatic re-ordering possible and providing data to optimize stock levels based on purchasing patterns.

  5. Customer Shopping Experience: Retail apps can use this model to help customers quickly find and identify their favorite beverages in a store. By pointing their smartphone camera at the beverage shelf, customers could easily find out product details such as price, nutritional information, and more.

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{
                            pepsi-13bqu_dataset,
                            title = { pepsi Dataset },
                            type = { Open Source Dataset },
                            author = { long23tk2@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/long23tk2-gmail-com/pepsi-13bqu } },
                            url = { https://universe.roboflow.com/long23tk2-gmail-com/pepsi-13bqu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-11-06 },
                            }
                        
                    

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