Compare Custom Vision to alternative Azure services
The Azure AI Vision Image Analysis API, based on Florence foundational model, now supports custom models with few-shot learning capability. Image Analysis is a separate offering from Azure Custom Vision. Use this guide to compare the two services.
To migrate an existing Custom Vision project to the Image Analysis 4.0 system, see the Migration guide.
Custom model training
Instead of Custom Vision, you can use the Image Analysis 4.0 model customization feature to create custom image identifier models with the latest technology from Azure.
Areas | Custom Vision service | Image Analysis 4.0 service | ||||||||||||||||||||||||||||||||||||
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Tasks | Image classification Object detection |
Image classification Object detection |
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Base model | CNN | Transformer model | ||||||||||||||||||||||||||||||||||||
Labeling | Customvision.ai | AML Studio | ||||||||||||||||||||||||||||||||||||
Web Portal | Customvision.ai | Vision Studio | ||||||||||||||||||||||||||||||||||||
Libraries | REST, SDK | REST, Python Sample | ||||||||||||||||||||||||||||||||||||
Minimum training data needed | 15 images per category | 2-5 images per category | ||||||||||||||||||||||||||||||||||||
Training data storage | Uploaded to service | Customer’s blob storage account | ||||||||||||||||||||||||||||||||||||
Model hosting | Cloud and edge | Cloud hosting only, edge container hosting to come | ||||||||||||||||||||||||||||||||||||
AI quality |
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Pricing | Custom Vision pricing | Image Analysis pricing |
Product recognition
Instead of using the Custom Vision product-on-shelves model, you can use Image Analysis 4.0 Product Recogntion feature to train custom models that recognize retail products on shelves.
Areas | Products on Shelves – Custom Vision | Product Recognition – Image Analysis API/Customization | ||||||||||||||||||||||||||||
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Features | Custom product understanding | Image stitching & rectification, Pretrained product understanding, Custom product understanding, Planogram matching |
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Base model | CNN | Florence transformer model | ||||||||||||||||||||||||||||
Labeling | Customvision.ai | AML Studio | ||||||||||||||||||||||||||||
Web Portal | Customvision.ai | Vision Studio | ||||||||||||||||||||||||||||
Libraries | REST, SDK | REST, Python Sample | ||||||||||||||||||||||||||||
Minimum training data needed | 15 images per category | 2-5 images per category | ||||||||||||||||||||||||||||
Training data storage | Uploaded to service | Customer’s blob storage account | ||||||||||||||||||||||||||||
Model hosting | Cloud and edge | Cloud hosting only, edge container hosting to come | ||||||||||||||||||||||||||||
AI quality |
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Pricing | Custom Vision pricing | Image Analysis pricing |
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