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Compare Google Cloud AutoML Vision and Microsoft Computer Vision API 
At a Glance
Market Segments
Small-Business (66.7% of reviews)
Small-Business (47.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud AutoML Vision
Star Rating
(15)4.2 out of 5
Market Segments
Small-Business (66.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoML VisionMicrosoft Computer Vision API
Star Rating
(47)4.1 out of 5
Market Segments
Small-Business (47.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Microsoft Computer Vision APISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Microsoft Computer Vision API excels in Logo Detection with a score of 8.9, indicating that it effectively identifies and categorizes logos in images, which is crucial for brand monitoring and marketing analysis.
- Reviewers mention that Google Cloud AutoML Vision shines in Facial Analysis with a score of 8.3, providing robust capabilities for understanding facial expressions and demographics, which is beneficial for applications in security and customer insights.
- G2 users highlight that Microsoft Computer Vision API offers superior Model Training capabilities with a score of 8.8, allowing users to create custom models tailored to specific needs, which enhances flexibility and accuracy in image recognition tasks.
- Users on G2 report that Google Cloud AutoML Vision has a slight edge in Quality of Support with a score of 8.7, suggesting that users find the support team responsive and helpful, which is vital for troubleshooting and optimizing usage.
- Reviewers say that Microsoft Computer Vision API's Ease of Setup is rated at 8.2, making it relatively straightforward for users to integrate into their existing systems, which is a significant advantage for small businesses looking to implement AI quickly.
- Users mention that Google Cloud AutoML Vision's Product Direction score of 8.7 reflects a strong commitment to continuous improvement and innovation, which is reassuring for businesses looking for a long-term partner in AI development.
Pricing
Entry-Level Pricing
Google Cloud AutoML Vision
No pricing availableMicrosoft Computer Vision API
No pricing availableFree Trial
Google Cloud AutoML Vision
No trial information availableMicrosoft Computer Vision API
No trial information availableRatings
Meets Requirements
8.3
9
8.5
38
Ease of Use
8.0
9
8.2
39
Ease of Setup
8.0
5
8.2
38
Ease of Admin
8.7
5
8.3
35
Quality of Support
8.7
9
8.3
33
Has the product been a good partner in doing business?
8.0
5
8.3
35
Product Direction (% positive)
8.7
9
7.9
38
Features by Category
Recognition Type
8.1
6
Not enough data
8.5
8
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.9
6
Not enough data
7.4
7
Not enough data
7.1
7
Not enough data
Facial Recognition
8.3
7
Not enough data
7.4
7
Not enough data
Labeling
8.8
8
Not enough data
8.5
8
Not enough data
8.5
8
Not enough data
Deployment
8.1
8
Not enough data
Categories
Categories
Shared Categories
Google Cloud AutoML Vision and Microsoft Computer Vision API are categorized as Image Recognition
Unique Categories
Google Cloud AutoML Vision has no unique categories
Microsoft Computer Vision API has no unique categories
Reviews
Reviewers' Company Size
Google Cloud AutoML Vision
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Computer Vision API
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
26.7%
Information Technology and Services
13.3%
Automotive
13.3%
Retail
6.7%
Marketing and Advertising
6.7%
Other
33.3%
Hospital & Health Care
13.0%
Marketing and Advertising
8.7%
Public Relations and Communications
6.5%
Writing and Editing
4.3%
Information Technology and Services
4.3%
Other
63.0%
Discussions
Google Cloud AutoML Vision has no discussions with answers
Microsoft Computer Vision API has no discussions with answers
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