배달음식 빼고 합침 Computer Vision Project

seoyoung lee

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Classes (50)
22
aehobak bokkeum
agu jjim
bulgogi
dakbal
doenjang jjigae
dubu buchim
eomuk bokkeum
galbi jjim
gamja chae bokkeum
gamja jorim
gamjatang
gim
gimbap
gopchang
gyeran jjim
japchae
jeyuk bokkeum
jinmichae bokkeum
jjajangmyeon
jjamppong
jumeokbap
kalguksu
kimchi
kimchi jjigae
kkaennip muchim
kkakdugi
kongnamul muchim
mechuri al jangjorim
miyeok guk
myeolchi bokkeum
namul muchim
odeng
oi muchim
pajeon
ramyeon
saengseon gui
samgyeopsal
samgyetang
sigeumchi muchim
sigm
sog
soju
sundae
sundubu jjigae
tang
tangsuyuk
tteokbokki
twigim
yangpa jangajji
Description

Here are a few use cases for this project:

  1. Korean Recipe Finder: Use the model in a recipe finder app to identify images of Korean dishes. Users could upload photos of dishes they'd like to recreate and receive related recipes.

  2. Menu Assistance: A digital menu for restaurants serving Korean cuisine can use the model to showcase images of the dishes, aiding customers to visualize what they're ordering.

  3. Culinary Education: A culinary education platform could use the model in a course focusing on Korean cuisine. Students can take photos of dishes they've prepared and the model could provide feedback by identifying the dish and comparing it to traditional versions.

  4. Nutrition Tracker: A nutrition tracking app could use the model for users to visually log their meals. By identifying specific dishes, the app could estimate nutritional content, aiding users in counting calories, tracking macros, or adhering to dietary restrictions.

  5. Food Delivery Quality Assurance: The model can be used by food delivery platforms to ensure the correct order has been prepared by the restaurant. By comparing a picture of the prepared dish to what was ordered, it can help reduce errors and improve customer satisfaction.

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{
                            -qmb4o_dataset,
                            title = { 배달음식 빼고 합침 Dataset },
                            type = { Open Source Dataset },
                            author = { seoyoung lee },
                            howpublished = { \url{ https://universe.roboflow.com/seoyoung-lee-ashwk/-qmb4o } },
                            url = { https://universe.roboflow.com/seoyoung-lee-ashwk/-qmb4o },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-09-22 },
                            }
                        
                    

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