I’ve seen the image recognition tutorial online and it gave me the idea to make an app that recognizes colour for colour blind people but I do not know how to go about it.
Thanks, but how would I apply this to Thunkable? I forgot to add that I am a beginner.
1 Like
Dear @vishruth-ram
Thank you for presenting the information.
The question is
Please share an example project of how to integrate this in Thunkable. Otherwise, you are just referring to public info that does not help to solve the issue.
5 Likes
you should get your data from A json
example:
{
“responses”: [
{
“labelAnnotations”: [
{
“mid”: “/m/0199g”,
“description”: “Bicycle”,
“score”: 0.98514533,
“topicality”: 0.98514533
},
{
“mid”: “/m/0h9mv”,
“description”: “Tire”,
“score”: 0.97655255,
“topicality”: 0.97655255
},
{
“mid”: “/m/083wq”,
“description”: “Wheel”,
“score”: 0.976536,
“topicality”: 0.976536
},
{
“mid”: “/m/07mhn”,
“description”: “Trousers”,
“score”: 0.9650727,
“topicality”: 0.9650727
},
{
“mid”: “/m/0bpnmk0”,
“description”: “Bicycles–Equipment and supplies”,
“score”: 0.9339702,
“topicality”: 0.9339702
},
{
“mid”: “/m/01bqvp”,
“description”: “Sky”,
“score”: 0.9324635,
“topicality”: 0.9324635
},
{
“mid”: “/m/01bqk0”,
“description”: “Bicycle wheel”,
“score”: 0.93231684,
“topicality”: 0.93231684
},
{
“mid”: “/m/02rqv26”,
“description”: “Bicycle handlebar”,
“score”: 0.8983736,
“topicality”: 0.8983736
},
{
“mid”: “/m/0dgw9r”,
“description”: “Human”,
“score”: 0.89531446,
“topicality”: 0.89531446
},
{
“mid”: “/m/0cgh4”,
“description”: “Building”,
“score”: 0.88221747,
“topicality”: 0.88221747
}
]
}
]
}
I haven’t tried it yet. you can get images from The screenshot shown above. it needs an API from-
The link above has what to do. I’ll google that thing for sure to get solved 
@muneer I’m trying a way to integrate but it takes a lot of time to. I’m finding a perfect developer console to get it integrated it with thunkable.
That’s fine, thank you.