The old model was good, but the new model is better! We can now detect faces that are:
Calling the face detection model with the Predict API returns bounding box coordinate locations of any human faces that are detected in an input image. Upload an image and see for yourself!
Finding meaning within visual data can be a manual, time consuming, and often daunting process. Using computer vision to help you find, see, understand, and unlock the insights that lay dormant in your data can be the key in helping you achieve your goals in today’s ever-changing world.
Instantly realize the application of AI for your ideas is now possible in just a few clicks (or few lines of code!)
curl -X POST
-H 'Authorization: Key YOUR_API_KEY'
-H "Content-Type: application/json"
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg"
}
}
}
]
}'
https://api.clarifai.com/v2/models/e0be3b9d6a454f0493ac3a30784001ff/outputsapp.models.initModel({id: Clarifai.GENERAL_MODEL, version: "aa7f35c01e0642fda5cf400f543e7c40"})
.then(generalModel => {
return generalModel.predict("the-image-url");
})
.then(response => {
var concepts = response['outputs'][0]['data']['concepts']
})from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='your_api_key')
model = app.public_models.general_model
model.model_version = 'aa7f35c01e0642fda5cf400f543e7c40'
response = model.predict(Image(url="https://samples.clarifai.com/metro-north.jpg"))ConceptModel model = client.getDefaultModels().generalModel();
ModelVersion modelVersion = model.getVersionByID("the-version").executeSync().get();
ClarifaiResponse<List<ClarifaiOutput<Prediction>>> response = client.predict(model.id())
.withInputs(ClarifaiInput.forImage("some-URL"))
.withVersion("aa7f35c01e0642fda5cf400f543e7c40")
.executeSync();ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
[_app getModelByName:@"general-v1.3" completion:^(ClarifaiModel *model, NSError *error) {
[model predictOnImages:@[image]
completion:^(NSArray<ClarifaiSearchResult *> *outputs, NSError *error) {
NSLog(@"outputs: %@", outputs);
}];
}];From creating better customer experiences on your website to monitoring your residential space for safety, the practical possibilities of computer vision AI are endless. We can help make your ideas you have on how to use computer vision come to life. Some examples include:
But the possibilities don’t end there! By 2020, AI will be used by at least 60% of organizations for digital commerce. Contact us to learn how we can help you realize the potential of how computer vision AI can impact your business.
We’ve built our products to make your integration with computer vision AI easy, scalable, and with little minimal outside resources required.
