Deepdream vs Google Cloud Vision API comparison

Cancel
You must select at least 2 products to compare!
Deepdream Logo
32 views|12 comparisons
Google Logo
2,385 views|2,107 comparisons
Ranking
Views
32
Comparisons
12
Reviews
0
Average Words per Review
0
Rating
N/A
Views
2,385
Comparisons
2,107
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Learn More
Deepdream
Video Not Available
Overview

Shenzhen Alex was founded in 1997, which specialized in development, production and sales of connector, cable, cable assembly, as well as RF cable, etc. DeepDream is one of our brand.
The company has a covered area with 10,000 square meters and more than 500 employees. Owned professional R&D team and introduced advanced high-precision processing & test equipment from Japan and Taiwan. Obtained international standard certification such as UL, ROHS, TUV &ISO9000, ISO14001, TS16949, QS9000, SA8000.

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 Business23%
Midsize Enterprise13%
Large Enterprise64%

Deepdream is ranked 12th in Image Recognition Software while Google Cloud Vision API is ranked 1st in Image Recognition Software. Deepdream is rated 0.0, while Google Cloud Vision API is rated 0.0. On the other hand, Deepdream is most compared with , whereas Google Cloud Vision API is most compared with Microsoft Azure Custom Vision Service, Amazon Rekognition, Microsoft Azure Face API, Microsoft Computer Vision API and Clarifai.

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.