Users report that OpenCV excels in custom image detection, allowing for tailored solutions that fit specific project needs, while Amazon Rekognition is praised for its robust facial recognition capabilities, making it a go-to for applications requiring high accuracy in identifying individuals.
Reviewers mention that OpenCV's flexibility in model training is a significant advantage, enabling developers to create and refine their own models, whereas Amazon Rekognition offers a more user-friendly setup with its pre-trained models, which can be beneficial for those looking for quick deployment.
G2 users highlight that OpenCV has a steeper learning curve, with an ease of use rating of 7.8, compared to Amazon Rekognition's 8.4, indicating that users may find Rekognition more accessible for immediate use without extensive programming knowledge.
Users on G2 report that Amazon Rekognition shines in quality of support, scoring 9.1, which is higher than OpenCV's 8.4, suggesting that users may receive more timely and effective assistance when using Rekognition.
Reviewers say that OpenCV's strength lies in its extensive community and open-source nature, which fosters collaboration and innovation, while Amazon Rekognition is noted for its seamless integration with other AWS services, making it a strong choice for businesses already invested in the AWS ecosystem.
Users mention that while OpenCV is favored for its advanced motion analysis and scene reconstruction features, Amazon Rekognition is often chosen for its comprehensive explicit content detection, which is crucial for applications in media and content moderation.
Pricing
Entry-Level Pricing
Amazon Rekognition
No pricing available
OpenCV
No pricing available
Free Trial
Amazon Rekognition
No trial information available
OpenCV
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Ratings
Meets Requirements
8.4
21
8.7
35
Ease of Use
8.4
21
7.8
35
Ease of Setup
9.1
16
8.4
30
Ease of Admin
8.6
16
8.7
27
Quality of Support
9.1
16
8.4
32
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