Indian Food Yolov5 Computer Vision Project

Sahil Sheikh

Updated 20 days ago

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Classes (81)
adhirasam
aloo gobi
aloo matar
aloo methi
aloo shimla mirch
aloo tikki
anarsa
appe
ariselu
baati
bandar laddu
basundi
bhatura
bhindi masala
biryani
boondi
butter chicken
chak hao kheer
cham cham
chana masala
chapati
chicken rezala
chicken tikka
chicken tikka masala
chikki
churma
daal
daal puri
dal makhani
dal tadka
dharwad pedha
doodhpak
double ka meetha
dum aloo
gajar halwa
gavvalu
ghevar
gujia
gulab jamun
imarti
jalebi
kachori
kadai paneer
kadhi pakoda
kakinada khaja
kalakand
karela bharta
kheer
kofta
lassi
ledikeni
litti chokha
lyangcha
maach jhol
makki di roti sarso ka saag
malpua
misi roti
misti doi
modak
mysore pak
naan
navrattan korma
palak paneer
paneer butter masala
phirni
pithe
poha
poornalu
pootharekulu
qubani ka meetha
rabri
ras malai
rasgulla
sandesh
shankarpali
sheera
shrikhand
soan papdi
sohan halwa
sutar feni
unni appam
Description

Here are a few use cases for this project:

  1. Culinary Education Apps: The model can be integrated into culinary education software or apps to help students and enthusiasts learn the names and appearances of various Indian dishes. When used in combination with augmented reality, users can view the image of a dish and get information about it instantly.

  2. Healthy Eating and Diet Planning: Nutritionists and dieticians can use this model to categorize and identify Indian food items. Using this information, they can develop personalized meal plans for their clients and provide detailed nutritional breakdowns of traditional Indian meals based on their components.

  3. Restaurant Automation: The model can be used in an automated ordering system at Indian restaurants. By identifying the dishes being served, the system can correctly account for what's been served to each table and add it to their bill, reducing human error in bill generation.

  4. Multicultural Cooking Shows or Competitions: In multi-cuisine cooking shows, judges can use this model to verify if participants have correctly prepared a specified Indian dish. This can help ensure fair judging and provide a more informed analysis of the dishes.

  5. Food Delivery & Recognition Apps: This model can be used in food delivery apps where customers take a photo of a dish and the app recognizes the dish for them. The feature can recommend restaurants where they can order similar dishes or suggest recipes they can try.

Supervision

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            indian-food-yolov5-gnrv9_dataset,
                            title = { Indian Food Yolov5 Dataset },
                            type = { Open Source Dataset },
                            author = { Sahil Sheikh },
                            howpublished = { \url{ https://universe.roboflow.com/sahil-sheikh-728fj/indian-food-yolov5-gnrv9 } },
                            url = { https://universe.roboflow.com/sahil-sheikh-728fj/indian-food-yolov5-gnrv9 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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