Custom Vision Howto
Custom Vision is an AI-powered image recognition service that allows users to easily build, deploy, and improve custom image classification and object detection models.
View MoreHow to Use Custom Vision
Create a Custom Vision project: Go to https://customvision.ai and sign in with your Microsoft account. Create a new project, selecting the appropriate project type (classification or object detection) and domain.
Upload and tag images: Upload a set of training images to your project. For classification, add tags to each image. For object detection, draw bounding boxes around objects and label them.
Train the model: Click the Train button to train your custom vision model on the uploaded and tagged images. Custom Vision will use machine learning to create a model based on your data.
Evaluate model performance: Review the model's performance metrics like precision and recall. Test the model by uploading new images to see how well it predicts.
Improve the model: Add more training images, especially for tags/objects that performed poorly. Retrain the model to improve its accuracy.
Publish the model: When satisfied with the model's performance, publish it to get a prediction endpoint that can be called via REST API.
Use the model: Integrate the published model into your application by making API calls to the prediction endpoint to classify new images or detect objects.
Custom Vision FAQs
Custom Vision is an Azure AI service that allows you to build, deploy and improve custom image classification and object detection models using a simple web UI or API. It enables you to train models to recognize specific content in imagery without needing extensive machine learning expertise.
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