You’d first need to train the software to recognize

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technologyfor decades. Google Teachable Machine does exactly what it sounds like. Theplatform lets you use machine learning models to teach or train a website orapp to recognize certain elements. Using computer vision, the software can betaught to recognize images, sounds, and poses. Just segment different examplesof what you want the model to train and then test whether it classifies themcorrectly. For example, this would work really well if you wanted to create

a mobileapp that identifies birds. You’d simply gather as much information about eachbird and then Jiangxi Mobile Phone Number List  teach the model to recognize them based on looks or even sounds.6. Lobe AI — Free Machine Learning Model Using Image Classification Created byMicrosoft, Lobe AI is actually pretty similar to Google Teachable Machine. Thebiggest difference is that you can export your model in more ways. Currently,it only works by using image classification—meaning you label

imagesbased on what it is to train the model. But object detection and data classificationmodels are coming soon. Lobe AI also has project templates that automaticallyselects the best machine-learning architecture for your project. Let’s say youwanted to use no-code/low-code to build an app that recognizes plants.  what a specific type of plantlooks like. Then when an app user points their camera at a tree or bush,