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Clarifai vs Google Cloud Vision API comparison

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Clarifai Logo

Clarifai

168 views|107 comparisons
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Google Cloud Vision API

2,407 views|2,125 comparisons
Ranking
6th
out of 19 in Image Recognition Software
Views
168
Comparisons
107
Reviews
0
Average Words per Review
0
Rating
N/A
1st
out of 19 in Image Recognition Software
Views
2,407
Comparisons
2,125
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Learn More
Clarifai
Google
Overview

We help organizations transform unstructured images, video and text data into structured data, significantly faster and more accurately than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with more than 90 employees and offices in Wilmington, Delaware, San Francisco, and Tallinn, Estonia.

Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.

Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm10%
Educational Organization10%
University9%
Computer Software Company8%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise14%
Large Enterprise64%

Clarifai is ranked 6th in Image Recognition Software while Google Cloud Vision API is ranked 1st in Image Recognition Software. Clarifai is rated 0.0, while Google Cloud Vision API is rated 0.0. On the other hand, Clarifai is most compared with , whereas Google Cloud Vision API is most compared with Microsoft Azure Custom Vision Service, Amazon Rekognition, Microsoft Azure Face API and Microsoft Computer Vision API.

See our list of best Image Recognition Software vendors.

We monitor all Image Recognition Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.