Custom Vision AI is a computer vision model development platform designed to help users build, train and deploy custom image recognition models.
The platform is used for image classification and object detection. Users can upload labeled images to train models that recognize specific visual concepts and then deploy those models in applications.
No. The platform is designed to lower the entry barrier with simplified training and deployment workflows, so you can start building custom vision models without deep ML expertise.
Trained models can be deployed to cloud environments, edge devices (such as IoT) or mobile platforms. For detailed deployment options, refer to the official documentation.
It’s suitable for many scenarios that require custom vision solutions, including industrial quality inspection, smart retail, security surveillance, medical imaging analysis and more.
Typical steps are: prepare and upload labeled image data, choose the task type on the platform, start training, then evaluate and refine the model.
The platform offers pre-trained model support to help accelerate development. Check the official resources for available model types and details.
Uploaded image data is used to train custom models. For specifics on data use, storage and privacy, consult the service’s official terms and privacy documentation.

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