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Welcome to FoodIDentify!
FoodIDentify is a TensorFlow classification model.
It has been trained on a data set of 101 different food types.
You can upload food images from your device and see if the model is abe to correctly identify your dish.
Food List
step 1/3
Click on a food name
You will be redirected to Google images. Choose an image and save to your device.
.png or .jpg images only!
apple pie
baby back ribs
baklava
beef carpaccio
beef tartare
beet salad
beignets
bibimbap
bread pudding
breakfast burrito
bruschetta
caesar salad
cannoli
caprese salad
carrot cake
ceviche
cheese plate
cheesecake
chicken curry
chicken quesadilla
chicken wings
chocolate cake
chocolate mousse
churros
clam chowder
club sandwich
crab cakes
creme brulee
croque madame
cup cakes
deviled eggs
donuts
dumplings
edamame
eggs benedict
escargots
falafel
filet mignon
fish and chips
foie gras
french fries
french onion soup
french toast
fried calamari
fried rice
frozen yogurt
garlic bread
gnocchi
greek salad
grilled cheese sandwich
grilled salmon
guacamole
gyoza
hamburger
hot and sour soup
hot dog
huevos rancheros
hummus
ice cream
lasagna
lobster bisque
lobster roll sandwich
macaroni and cheese
macarons
miso soup
mussels
nachos
omelette
onion rings
oysters
pad thai
paella
pancakes
panna cotta
peking duck
pho
pizza
pork chop
poutine
prime rib
pulled pork sandwich
ramen
ravioli
red velvet cake
risotto
samosa
sashimi
scallops
seaweed salad
shrimp and grits
spaghetti bolognese
spaghetti carbonara
spring rolls
steak
strawberry shortcake
sushi
tacos
takoyaki
tiramisu
tuna tartare
waffles
Once you have an image saved press continue.
Time to upload
step 2/3
Upload the food image you saved from the previous step.
Prediction Time!
step 3/3
Final Step!
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Prediction: ${ PredictedResult.prediction }
Confidence: ${ PredictedResult.confidence }
Correct?
${ votesData.error ? 'Error' : votesData.message }
${ votesData.error ? 'Error' : 'Results' }
Total Votes | ${ votesData.total_count } |
Correct | ${ votesData.correct_count } |
Incorrect | ${ votesData.incorrect_count } |
Modal Accuracy | ${ votesData.accuracy } |
${ votesData.error }