Google Cloud AutoML Vision

Google Cloud AutoML Vision

AutoML Vision empowers users to create custom image classification and object detection models with ease. By training models that recognize multiple objects and their locations via bounding boxes, developers can seamlessly integrate these capabilities into cloud applications or deploy them on edge devices for real-time processing and actions.

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Google Cloud Vision API

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Caffe

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IBM Watson Machine Learning Accelerator

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Jasper

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VIGRA

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Hebel

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GoNN

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Top Google Cloud AutoML Vision Features

  • Custom model training
  • Multi-object detection
  • Bounding box positioning
  • Cloud model deployment
  • Edge model deployment
  • High-accuracy image classification
  • Real-time action triggers
  • Pre-trained models access
  • REST and RPC API support
  • Label assignment for images
  • Handwritten text recognition
  • Face detection capabilities
  • Product matching for mobile
  • Engaging user experiences
  • Scalable cloud infrastructure
  • Edge device compatibility
  • Support for various image formats
  • Metadata enrichment for images
  • Customizable classification labels
  • Flexible deployment options