Users report that Amazon Rekognition excels in its Quality of Support, scoring 9.1, which reviewers mention as a significant advantage when troubleshooting issues or seeking guidance, compared to Google Cloud AutoML Vision's score of 8.7.
Reviewers mention that Amazon Rekognition's Ease of Setup is notably higher at 9.1, making it more user-friendly for small businesses, while Google Cloud AutoML Vision has a lower score of 8.0, indicating a steeper learning curve.
G2 users highlight Amazon Rekognition's superior Emotion Detection capabilities, scoring 8.1, which is particularly beneficial for applications in marketing and customer engagement, whereas Google Cloud AutoML Vision does not provide a comparable feature.
Users on G2 report that Amazon Rekognition's Video Detection feature, scoring 7.1, is less robust than expected, while Google Cloud AutoML Vision does not offer a direct equivalent, which may limit options for users focused on video analysis.
Reviewers mention that both products perform well in Model Training, with Amazon Rekognition scoring 8.8 and Google Cloud AutoML Vision also performing well, but users note that Rekognition's interface is more intuitive for beginners.
Users say that Amazon Rekognition shines in Logo Detection with a score of 8.9, which is particularly useful for brand monitoring, while Google Cloud AutoML Vision lacks a specific feature for this purpose, making Rekognition a better choice for businesses focused on brand visibility.
Pricing
Entry-Level Pricing
Amazon Rekognition
No pricing available
Google Cloud AutoML Vision
No pricing available
Free Trial
Amazon Rekognition
No trial information available
Google Cloud AutoML Vision
No trial information available
Ratings
Meets Requirements
8.4
21
8.3
9
Ease of Use
8.4
21
8.0
9
Ease of Setup
9.1
16
8.0
5
Ease of Admin
8.6
16
8.7
5
Quality of Support
9.1
16
8.7
9
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