pratikskarnik / Indian_Food_Recognition / 0.1.3
README.md
Overview
It is an algorithm which takes an image of the Indian food from the user and return the name of food
Applicable Scenarios and Problems
There are 250+ Indian food names are there which can be recognized by the Image classifier.
Usage
It can be used by local and international travelers. Traveling to new states also feel like traveling to a new country in India, as the culture and language changes with each state.
Input
Parameter | Description |
---|---|
input | String |
The example input is an encoded string derived from the Image. For preprocessing please use below code:
import base64
from PIL import Image
from io import BytesIO
input_file="Veg/Biryani/Chicken_Biryani.jpg" # Image path on local machine
with open(input_file, "rb") as image_file:
input = base64.b64encode(image_file.read())
Output
Parameter | Description |
---|---|
Label | String |
Probability | Float |
Examples
import base64
from PIL import Image
from io import BytesIO
import Algorithmia
input_file="Veg/Biryani/Chicken_Biryani.jpg" # Image path on local machine
with open(input_file, "rb") as image_file:
input = base64.b64encode(image_file.read())
client = Algorithmia.client('simaDGJJvQ0TWu+cqpuURy9kd/X1')
algo = client.algo('pratikskarnik/Indian_Food_Recognition/0.1.3')
image_alg = algo.pipe(input)
print( image_alg.result)
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